diff --git a/.golangci.yml b/.golangci.yml index 5292e43..d1d92a8 100644 --- a/.golangci.yml +++ b/.golangci.yml @@ -2,15 +2,6 @@ linters: enable: - asciicheck - errorlint - - gci - - gofumpt + - gofmt - gosec - wastedassign - -linters-settings: - gci: - sections: - - standard - - default - - prefix(github.com/CycloneDX) - custom-order: true diff --git a/convert.go b/convert.go index 4e8b20c..6acec2f 100644 --- a/convert.go +++ b/convert.go @@ -50,6 +50,7 @@ func (b *BOM) convert(specVersion SpecVersion) { } if specVersion < SpecVersion1_5 { b.Annotations = nil + b.Formulation = nil } if b.Metadata != nil { @@ -61,13 +62,13 @@ func (b *BOM) convert(specVersion SpecVersion) { b.Metadata.Lifecycles = nil } + if specVersion < SpecVersion1_5 { + b.Metadata.Lifecycles = nil + } + recurseComponent(b.Metadata.Component, componentConverter(specVersion)) convertLicenses(b.Metadata.Licenses, specVersion) - if b.Metadata.Tools != nil { - for i := range *b.Metadata.Tools { - convertTool(&(*b.Metadata.Tools)[i], specVersion) - } - } + convertTools(b.Metadata.Tools, specVersion) } if b.Components != nil { @@ -82,6 +83,18 @@ func (b *BOM) convert(specVersion SpecVersion) { } } + if b.Vulnerabilities != nil { + convertVulnerabilities(b.Vulnerabilities, specVersion) + } + + if b.Compositions != nil { + convertCompositions(b.Compositions, specVersion) + } + + if b.ExternalReferences != nil { + convertExternalReferences(b.ExternalReferences, specVersion) + } + b.SpecVersion = specVersion b.XMLNS = xmlNamespaces[specVersion] b.JSONSchema = jsonSchemas[specVersion] @@ -121,6 +134,17 @@ func componentConverter(specVersion SpecVersion) func(*Component) { } } + if specVersion < SpecVersion1_5 { + c.ModelCard = nil + c.Data = nil + + if c.Evidence != nil { + c.Evidence.Identity = nil + c.Evidence.Occurrences = nil + c.Evidence.Callstack = nil + } + } + if !specVersion.supportsComponentType(c.Type) { c.Type = ComponentTypeApplication } @@ -133,6 +157,19 @@ func componentConverter(specVersion SpecVersion) func(*Component) { } } +func convertCompositions(comps *[]Composition, specVersion SpecVersion) { + if comps == nil { + return + } + + for i := range *comps { + comp := &(*comps)[i] + if !specVersion.supportsCompositionAggregate(comp.Aggregate) { + comp.Aggregate = CompositionAggregateUnknown + } + } +} + // convertExternalReferences modifies an ExternalReference slice such that it adheres to a given SpecVersion. func convertExternalReferences(extRefs *[]ExternalReference, specVersion SpecVersion) { if extRefs == nil { @@ -218,6 +255,33 @@ func convertLicenses(licenses *Licenses, specVersion SpecVersion) { } } +func convertVulnerabilities(vulns *[]Vulnerability, specVersion SpecVersion) { + if vulns == nil { + return + } + + for i := range *vulns { + vuln := &(*vulns)[i] + + convertTools(vuln.Tools, specVersion) + + if specVersion < SpecVersion1_5 { + vuln.ProofOfConcept = nil + vuln.Rejected = "" + vuln.Workaround = "" + } + + if vuln.Ratings != nil { + for j := range *vuln.Ratings { + rating := &(*vuln.Ratings)[j] + if !specVersion.supportsScoringMethod(rating.Method) { + rating.Method = ScoringMethodOther + } + } + } + } +} + // serviceConverter modifies a Service such that it adheres to a given SpecVersion. func serviceConverter(specVersion SpecVersion) func(*Service) { return func(s *Service) { @@ -233,6 +297,50 @@ func serviceConverter(specVersion SpecVersion) func(*Service) { } } +// convertTools modifies a ToolsChoice such that it adheres to a given SpecVersion. +func convertTools(tools *ToolsChoice, specVersion SpecVersion) { + if tools == nil { + return + } + + if specVersion < SpecVersion1_5 { + convertedTools := make([]Tool, 0) + if tools.Components != nil { + for i := range *tools.Components { + tool := convertComponentToTool((*tools.Components)[i], specVersion) + if tool != nil { + convertedTools = append(convertedTools, *tool) + } + } + tools.Components = nil + } + + if tools.Services != nil { + for i := range *tools.Services { + tool := convertServiceToTool((*tools.Services)[i], specVersion) + if tool != nil { + convertedTools = append(convertedTools, *tool) + } + } + tools.Services = nil + } + + if len(convertedTools) > 0 { + if tools.Tools == nil { + tools.Tools = &convertedTools + } else { + *tools.Tools = append(*tools.Tools, convertedTools...) + } + } + } + + if tools.Tools != nil { + for i := range *tools.Tools { + convertTool(&(*tools.Tools)[i], specVersion) + } + } +} + // convertTool modifies a Tool such that it adheres to a given SpecVersion. func convertTool(tool *Tool, specVersion SpecVersion) { if tool == nil { @@ -247,6 +355,40 @@ func convertTool(tool *Tool, specVersion SpecVersion) { convertHashes(tool.Hashes, specVersion) } +// convertComponentToTool converts a Component to a Tool for use in ToolsChoice.Tools. +func convertComponentToTool(component Component, _ SpecVersion) *Tool { + tool := Tool{ + Vendor: component.Author, + Name: component.Name, + Version: component.Version, + Hashes: component.Hashes, + ExternalReferences: component.ExternalReferences, + } + + if component.Supplier != nil { + // There is no perfect 1:1 mapping for the Vendor field, but Supplier comes closest. + // https://github.com/CycloneDX/cyclonedx-go/issues/115#issuecomment-1688710539 + tool.Vendor = component.Supplier.Name + } + + return &tool +} + +// convertServiceToTool converts a Service to a Tool for use in ToolsChoice.Tools. +func convertServiceToTool(service Service, _ SpecVersion) *Tool { + tool := Tool{ + Name: service.Name, + Version: service.Version, + ExternalReferences: service.ExternalReferences, + } + + if service.Provider != nil { + tool.Vendor = service.Provider.Name + } + + return &tool +} + func recurseComponent(component *Component, f func(c *Component)) { if component == nil { return @@ -307,6 +449,16 @@ func (sv SpecVersion) supportsComponentType(cType ComponentType) bool { return false } +func (sv SpecVersion) supportsCompositionAggregate(ca CompositionAggregate) bool { + switch ca { + case CompositionAggregateIncompleteFirstPartyOpenSourceOnly, CompositionAggregateIncompleteFirstPartyProprietaryOnly, + CompositionAggregateIncompleteThirdPartyOpenSourceOnly, CompositionAggregateIncompleteThirdPartyProprietaryOnly: + return sv >= SpecVersion1_5 + } + + return sv >= SpecVersion1_3 +} + func (sv SpecVersion) supportsExternalReferenceType(ert ExternalReferenceType) bool { switch ert { case ERTypeAdversaryModel, @@ -314,10 +466,15 @@ func (sv SpecVersion) supportsExternalReferenceType(ert ExternalReferenceType) b ERTypeCertificationReport, ERTypeCodifiedInfrastructure, ERTypeComponentAnalysisReport, + ERTypeConfiguration, ERTypeDistributionIntake, ERTypeDynamicAnalysisReport, + ERTypeEvidence, ERTypeExploitabilityStatement, + ERTypeFormulation, + ERTypeLog, ERTypeMaturityReport, + ERTypeModelCard, ERTypePentestReport, ERTypeQualityMetrics, ERTypeRiskAssessment, @@ -352,3 +509,14 @@ func (sv SpecVersion) supportsScope(scope Scope) bool { return false } + +func (sv SpecVersion) supportsScoringMethod(method ScoringMethod) bool { + switch method { + case ScoringMethodCVSSv2, ScoringMethodCVSSv3, ScoringMethodCVSSv31, ScoringMethodOWASP, ScoringMethodOther: + return sv >= SpecVersion1_4 + case ScoringMethodCVSSv4, ScoringMethodSSVC: + return sv >= SpecVersion1_5 + } + + return false +} diff --git a/cyclonedx.go b/cyclonedx.go index 55574e9..e51e687 100644 --- a/cyclonedx.go +++ b/cyclonedx.go @@ -90,6 +90,7 @@ type BOM struct { Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` Vulnerabilities *[]Vulnerability `json:"vulnerabilities,omitempty" xml:"vulnerabilities>vulnerability,omitempty"` Annotations *[]Annotation `json:"annotations,omitempty" xml:"annotations>annotation,omitempty"` + Formulation *[]Formula `json:"formulation,omitempty" xml:"formulation>formula,omitempty"` } func NewBOM() *BOM { @@ -116,6 +117,20 @@ func Bool(value bool) *bool { type BOMReference string +type Callstack struct { + Frames *[]CallstackFrame `json:"frames,omitempty" xml:"frames>frame,omitempty"` +} + +type CallstackFrame struct { + Package string `json:"package,omitempty" xml:"package,omitempty"` + Module string `json:"module,omitempty" xml:"module,omitempty"` + Function string `json:"function,omitempty" xml:"function,omitempty"` + Parameters *[]string `json:"parameters,omitempty" xml:"parameters>parameter,omitempty"` + Line *int `json:"line,omitempty" xml:"line,omitempty"` + Column *int `json:"column,omitempty" xml:"column,omitempty"` + FullFilename string `json:"fullFilename,omitempty" xml:"fullFilename,omitempty"` +} + type ComponentType string const ( @@ -166,23 +181,80 @@ type Component struct { Components *[]Component `json:"components,omitempty" xml:"components>component,omitempty"` Evidence *Evidence `json:"evidence,omitempty" xml:"evidence,omitempty"` ReleaseNotes *ReleaseNotes `json:"releaseNotes,omitempty" xml:"releaseNotes,omitempty"` + ModelCard *MLModelCard `json:"modelCard,omitempty" xml:"modelCard,omitempty"` + Data *ComponentData `json:"data,omitempty" xml:"data,omitempty"` +} + +type ComponentData struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + Type ComponentDataType `json:"type,omitempty" xml:"type,omitempty"` + Name string `json:"name,omitempty" xml:"name,omitempty"` + Contents *ComponentDataContents `json:"contents,omitempty" xml:"contents,omitempty"` + Classification string `json:"classification,omitempty" xml:"classification,omitempty"` + SensitiveData *[]string `json:"sensitiveData,omitempty" xml:"sensitiveData,omitempty"` + Graphics *ComponentDataGraphics `json:"graphics,omitempty" xml:"graphics,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + Governance *ComponentDataGovernance `json:"governance,omitempty" xml:"governance,omitempty"` +} + +type ComponentDataContents struct { + Attachment *AttachedText `json:"attachment,omitempty" xml:"attachment,omitempty"` + URL string `json:"url,omitempty" xml:"url,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties,omitempty"` +} + +type ComponentDataGovernance struct { + Custodians *[]ComponentDataGovernanceResponsibleParty `json:"custodians,omitempty" xml:"custodians>custodian,omitempty"` + Stewards *[]ComponentDataGovernanceResponsibleParty `json:"stewards,omitempty" xml:"stewards>steward,omitempty"` + Owners *[]ComponentDataGovernanceResponsibleParty `json:"owners,omitempty" xml:"owners>owner,omitempty"` +} + +type ComponentDataGovernanceResponsibleParty struct { + Organization *OrganizationalEntity `json:"organization,omitempty" xml:"organization,omitempty"` + Contact *OrganizationalContact `json:"contact,omitempty" xml:"contact,omitempty"` +} + +type ComponentDataGraphic struct { + Name string `json:"name,omitempty" xml:"name,omitempty"` + Image *AttachedText `json:"image,omitempty" xml:"image,omitempty"` } +type ComponentDataGraphics struct { + Description string `json:"description,omitempty" xml:"description,omitempty"` + Collection *[]ComponentDataGraphic `json:"collection,omitempty" xml:"collection>graphic,omitempty"` +} + +type ComponentDataType string + +const ( + ComponentDataTypeConfiguration ComponentDataType = "configuration" + ComponentDataTypeDataset ComponentDataType = "dataset" + ComponentDataTypeDefinition ComponentDataType = "definition" + ComponentDataTypeOther ComponentDataType = "other" + ComponentDataTypeSourceCode ComponentDataType = "source-code" +) + type Composition struct { - Aggregate CompositionAggregate `json:"aggregate" xml:"aggregate"` - Assemblies *[]BOMReference `json:"assemblies,omitempty" xml:"assemblies>assembly,omitempty"` - Dependencies *[]BOMReference `json:"dependencies,omitempty" xml:"dependencies>dependency,omitempty"` + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + Aggregate CompositionAggregate `json:"aggregate" xml:"aggregate"` + Assemblies *[]BOMReference `json:"assemblies,omitempty" xml:"assemblies>assembly,omitempty"` + Dependencies *[]BOMReference `json:"dependencies,omitempty" xml:"dependencies>dependency,omitempty"` + Vulnerabilities *[]BOMReference `json:"vulnerabilities,omitempty" xml:"vulnerabilities>vulnerability,omitempty"` } type CompositionAggregate string const ( - CompositionAggregateComplete CompositionAggregate = "complete" - CompositionAggregateIncomplete CompositionAggregate = "incomplete" - CompositionAggregateIncompleteFirstPartyOnly CompositionAggregate = "incomplete_first_party_only" - CompositionAggregateIncompleteThirdPartyOnly CompositionAggregate = "incomplete_third_party_only" - CompositionAggregateUnknown CompositionAggregate = "unknown" - CompositionAggregateNotSpecified CompositionAggregate = "not_specified" + CompositionAggregateComplete CompositionAggregate = "complete" + CompositionAggregateIncomplete CompositionAggregate = "incomplete" + CompositionAggregateIncompleteFirstPartyOnly CompositionAggregate = "incomplete_first_party_only" + CompositionAggregateIncompleteFirstPartyOpenSourceOnly CompositionAggregate = "incomplete_first_party_opensource_only" + CompositionAggregateIncompleteFirstPartyProprietaryOnly CompositionAggregate = "incomplete_first_party_proprietary_only" + CompositionAggregateIncompleteThirdPartyOnly CompositionAggregate = "incomplete_third_party_only" + CompositionAggregateIncompleteThirdPartyOpenSourceOnly CompositionAggregate = "incomplete_third_party_opensource_only" + CompositionAggregateIncompleteThirdPartyProprietaryOnly CompositionAggregate = "incomplete_third_party_proprietary_only" + CompositionAggregateNotSpecified CompositionAggregate = "not_specified" + CompositionAggregateUnknown CompositionAggregate = "unknown" ) type Copyright struct { @@ -218,9 +290,74 @@ type Diff struct { URL string `json:"url,omitempty" xml:"url,omitempty"` } +type EnvironmentVariables []EnvironmentVariableChoice + +type EnvironmentVariableChoice struct { + Property *Property `json:"-" xml:"-"` + Value string `json:"-" xml:"-"` +} + +type Event struct { + UID string `json:"uid,omitempty" xml:"uid,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + TimeReceived string `json:"timeReceived,omitempty" xml:"timeReceived,omitempty"` + Data *AttachedText `json:"data,omitempty" xml:"data,omitempty"` + Source *ResourceReferenceChoice `json:"source,omitempty" xml:"source,omitempty"` + Target *ResourceReferenceChoice `json:"target,omitempty" xml:"target,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + type Evidence struct { - Licenses *Licenses `json:"licenses,omitempty" xml:"licenses,omitempty"` - Copyright *[]Copyright `json:"copyright,omitempty" xml:"copyright>text,omitempty"` + Identity *EvidenceIdentity `json:"identity,omitempty" xml:"identity,omitempty"` + Occurrences *[]EvidenceOccurrence `json:"occurrences,omitempty" xml:"occurrences>occurrence,omitempty"` + Callstack *Callstack `json:"callstack,omitempty" xml:"callstack,omitempty"` + Licenses *Licenses `json:"licenses,omitempty" xml:"licenses,omitempty"` + Copyright *[]Copyright `json:"copyright,omitempty" xml:"copyright>text,omitempty"` +} + +type EvidenceIdentity struct { + Field EvidenceIdentityFieldType `json:"field,omitempty" xml:"field,omitempty"` + Confidence *float32 `json:"confidence,omitempty" xml:"confidence,omitempty"` + Methods *[]EvidenceIdentityMethod `json:"methods,omitempty" xml:"methods>method,omitempty"` + Tools *[]BOMReference `json:"tools,omitempty" xml:"tools>tool,omitempty"` +} + +type EvidenceIdentityFieldType string + +const ( + EvidenceIdentityFieldTypeCPE EvidenceIdentityFieldType = "cpe" + EvidenceIdentityFieldTypeGroup EvidenceIdentityFieldType = "group" + EvidenceIdentityFieldTypeHash EvidenceIdentityFieldType = "hash" + EvidenceIdentityFieldTypeName EvidenceIdentityFieldType = "name" + EvidenceIdentityFieldTypePURL EvidenceIdentityFieldType = "purl" + EvidenceIdentityFieldTypeSWID EvidenceIdentityFieldType = "swid" + EvidenceIdentityFieldTypeVersion EvidenceIdentityFieldType = "version" +) + +type EvidenceIdentityMethod struct { + Technique EvidenceIdentityTechnique `json:"technique,omitempty" xml:"technique,omitempty"` + Confidence *float32 `json:"confidence,omitempty" xml:"confidence,omitempty"` + Value string `json:"value,omitempty" xml:"value,omitempty"` +} + +type EvidenceIdentityTechnique string + +const ( + EvidenceIdentityTechniqueASTFingerprint EvidenceIdentityTechnique = "ast-fingerprint" + EvidenceIdentityTechniqueAttestation EvidenceIdentityTechnique = "attestation" + EvidenceIdentityTechniqueBinaryAnalysis EvidenceIdentityTechnique = "binary-analysis" + EvidenceIdentityTechniqueDynamicAnalysis EvidenceIdentityTechnique = "dynamic-analysis" + EvidenceIdentityTechniqueFilename EvidenceIdentityTechnique = "filename" + EvidenceIdentityTechniqueHashComparison EvidenceIdentityTechnique = "hash-comparison" + EvidenceIdentityTechniqueInstrumentation EvidenceIdentityTechnique = "instrumentation" + EvidenceIdentityTechniqueManifestAnalysis EvidenceIdentityTechnique = "manifest-analysis" + EvidenceIdentityTechniqueOther EvidenceIdentityTechnique = "other" + EvidenceIdentityTechniqueSourceCodeAnalysis EvidenceIdentityTechnique = "source-code-analysis" +) + +type EvidenceOccurrence struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + Location string `json:"location,omitempty" xml:"location,omitempty"` } type ExternalReference struct { @@ -241,17 +378,22 @@ const ( ERTypeBuildSystem ExternalReferenceType = "build-system" ERTypeCertificationReport ExternalReferenceType = "certification-report" ERTypeChat ExternalReferenceType = "chat" + ERTypeConfiguration ExternalReferenceType = "configuration" ERTypeCodifiedInfrastructure ExternalReferenceType = "codified-infrastructure" ERTypeComponentAnalysisReport ExternalReferenceType = "component-analysis-report" ERTypeDistribution ExternalReferenceType = "distribution" ERTypeDistributionIntake ExternalReferenceType = "distribution-intake" ERTypeDocumentation ExternalReferenceType = "documentation" ERTypeDynamicAnalysisReport ExternalReferenceType = "dynamic-analysis-report" + ERTypeEvidence ExternalReferenceType = "evidence" ERTypeExploitabilityStatement ExternalReferenceType = "exploitability-statement" + ERTypeFormulation ExternalReferenceType = "formulation" ERTypeIssueTracker ExternalReferenceType = "issue-tracker" ERTypeLicense ExternalReferenceType = "license" + ERTypeLog ExternalReferenceType = "log" ERTypeMailingList ExternalReferenceType = "mailing-list" ERTypeMaturityReport ExternalReferenceType = "maturity-report" + ERTypeModelCard ExternalReferenceType = "model-card" ERTypeOther ExternalReferenceType = "other" ERTypePentestReport ExternalReferenceType = "pentest-report" ERTypeQualityMetrics ExternalReferenceType = "quality-metrics" @@ -268,6 +410,14 @@ const ( ERTypeWebsite ExternalReferenceType = "website" ) +type Formula struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + Components *[]Component `json:"components,omitempty" xml:"components>component,omitempty"` + Services *[]Service `json:"services,omitempty" xml:"services>service,omitempty"` + Workflows *[]Workflow `json:"workflows,omitempty" xml:"workflows>workflow,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + type Hash struct { Algorithm HashAlgorithm `json:"alg" xml:"alg,attr"` Value string `json:"content" xml:",chardata"` @@ -436,7 +586,7 @@ func (mt MediaType) WithVersion(specVersion SpecVersion) (string, error) { type Metadata struct { Timestamp string `json:"timestamp,omitempty" xml:"timestamp,omitempty"` Lifecycles *[]Lifecycle `json:"lifecycles,omitempty" xml:"lifecycles>lifecycle,omitempty"` - Tools *[]Tool `json:"tools,omitempty" xml:"tools>tool,omitempty"` + Tools *ToolsChoice `json:"tools,omitempty" xml:"tools,omitempty"` Authors *[]OrganizationalContact `json:"authors,omitempty" xml:"authors>author,omitempty"` Component *Component `json:"component,omitempty" xml:"component,omitempty"` Manufacture *OrganizationalEntity `json:"manufacture,omitempty" xml:"manufacture,omitempty"` @@ -445,6 +595,84 @@ type Metadata struct { Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` } +type MLDatasetChoice struct { + Ref string `json:"-" xml:"-"` + ComponentData *ComponentData `json:"-" xml:"-"` +} + +type MLInputOutputParameters struct { + Format string `json:"format,omitempty" xml:"format,omitempty"` +} + +type MLModelCard struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + ModelParameters *MLModelParameters `json:"modelParameters,omitempty" xml:"modelParameters,omitempty"` + QuantitativeAnalysis *MLQuantitativeAnalysis `json:"quantitativeAnalysis,omitempty" xml:"quantitativeAnalysis,omitempty"` + Considerations *MLModelCardConsiderations `json:"considerations,omitempty" xml:"considerations,omitempty"` +} + +type MLModelCardConsiderations struct { + Users *[]string `json:"users,omitempty" xml:"users>user,omitempty"` + UseCases *[]string `json:"useCases,omitempty" xml:"useCases>useCase,omitempty"` + TechnicalLimitations *[]string `json:"technicalLimitations,omitempty" xml:"technicalLimitations>technicalLimitation,omitempty"` + PerformanceTradeoffs *[]string `json:"performanceTradeoffs,omitempty" xml:"performanceTradeoffs>performanceTradeoff,omitempty"` + EthicalConsiderations *[]MLModelCardEthicalConsideration `json:"ethicalConsiderations,omitempty" xml:"ethicalConsiderations>ethicalConsideration,omitempty"` + FairnessAssessments *[]MLModelCardFairnessAssessment `json:"fairnessAssessments,omitempty" xml:"fairnessAssessments>fairnessAssessment,omitempty"` +} + +type MLModelCardEthicalConsideration struct { + Name string `json:"name,omitempty" xml:"name,omitempty"` + MitigationStrategy string `json:"mitigationStrategy,omitempty" xml:"mitigationStrategy,omitempty"` +} + +type MLModelCardFairnessAssessment struct { + GroupAtRisk string `json:"groupAtRisk,omitempty" xml:"groupAtRisk,omitempty"` + Benefits string `json:"benefits,omitempty" xml:"benefits,omitempty"` + Harms string `json:"harms,omitempty" xml:"harms,omitempty"` + MitigationStrategy string `json:"mitigationStrategy,omitempty" xml:"mitigationStrategy,omitempty"` +} + +type MLModelParameters struct { + Approach *MLModelParametersApproach `json:"approach,omitempty" xml:"approach,omitempty"` + Task string `json:"task,omitempty" xml:"task,omitempty"` + ArchitectureFamily string `json:"architectureFamily,omitempty" xml:"architectureFamily,omitempty"` + ModelArchitecture string `json:"modelArchitecture,omitempty" xml:"modelArchitecture,omitempty"` + Datasets *[]MLDatasetChoice `json:"datasets,omitempty" xml:"datasets>dataset,omitempty"` + Inputs *[]MLInputOutputParameters `json:"inputs,omitempty" xml:"inputs>input,omitempty"` + Outputs *[]MLInputOutputParameters `json:"outputs,omitempty" xml:"outputs>output,omitempty"` +} + +type MLModelParametersApproach struct { + Type MLModelParametersApproachType `json:"type,omitempty" xml:"type,omitempty"` +} + +type MLModelParametersApproachType string + +const ( + MLModelParametersApproachTypeSupervised MLModelParametersApproachType = "supervised" + MLModelParametersApproachTypeUnsupervised MLModelParametersApproachType = "unsupervised" + MLModelParametersApproachTypeReinforcementLearning MLModelParametersApproachType = "reinforcement-learning" + MLModelParametersApproachTypeSemiSupervised MLModelParametersApproachType = "semi-supervised" + MLModelParametersApproachTypeSelfSupervised MLModelParametersApproachType = "self-supervised" +) + +type MLQuantitativeAnalysis struct { + PerformanceMetrics *[]MLPerformanceMetric `json:"performanceMetrics,omitempty" xml:"performanceMetrics>performanceMetric,omitempty"` + Graphics *ComponentDataGraphics `json:"graphics,omitempty" xml:"graphics,omitempty"` +} + +type MLPerformanceMetric struct { + Type string `json:"type,omitempty" xml:"type,omitempty"` + Value string `json:"value,omitempty" xml:"value,omitempty"` + Slice string `json:"slice,omitempty" xml:"slice,omitempty"` + ConfidenceInterval *MLPerformanceMetricConfidenceInterval `json:"confidenceInterval,omitempty" xml:"confidenceInterval,omitempty"` +} + +type MLPerformanceMetricConfidenceInterval struct { + LowerBound string `json:"lowerBound,omitempty" xml:"lowerBound,omitempty"` + UpperBound string `json:"upperBound,omitempty" xml:"upperBound,omitempty"` +} + type Note struct { Locale string `json:"locale,omitempty" xml:"locale,omitempty"` Text AttachedText `json:"text" xml:"text"` @@ -467,6 +695,12 @@ type OrganizationalEntityOrContact struct { Individual *OrganizationalContact `json:"individual,omitempty" xml:"individual,omitempty"` } +type Parameter struct { + Name string `json:"name,omitempty" xml:"name,omitempty"` + Value string `json:"value,omitempty" xml:"value,omitempty"` + DataType string `json:"dataType,omitempty" xml:"dataType,omitempty"` +} + type Patch struct { Diff *Diff `json:"diff,omitempty" xml:"diff,omitempty"` Resolves *[]Issue `json:"resolves,omitempty" xml:"resolves>issue,omitempty"` @@ -491,6 +725,12 @@ type Pedigree struct { Notes string `json:"notes,omitempty" xml:"notes,omitempty"` } +type ProofOfConcept struct { + ReproductionSteps string `json:"reproductionSteps,omitempty" xml:"reproductionSteps,omitempty"` + Environment string `json:"environment,omitempty" xml:"environment,omitempty"` + SupportingMaterial *[]AttachedText `json:"supportingMaterial,omitempty" xml:"supportingMaterial>attachment,omitempty"` +} + type Property struct { Name string `json:"name" xml:"name,attr"` Value string `json:"value" xml:",chardata"` @@ -510,6 +750,11 @@ type ReleaseNotes struct { Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` } +type ResourceReferenceChoice struct { + Ref string `json:"ref,omitempty" xml:"ref,omitempty"` + ExternalReference *ExternalReference `json:"externalReference,omitempty" xml:"externalReference,omitempty"` +} + type Scope string const ( @@ -525,7 +770,9 @@ const ( ScoringMethodCVSSv2 ScoringMethod = "CVSSv2" ScoringMethodCVSSv3 ScoringMethod = "CVSSv3" ScoringMethodCVSSv31 ScoringMethod = "CVSSv31" + ScoringMethodCVSSv4 ScoringMethod = "CVSSv4" ScoringMethodOWASP ScoringMethod = "OWASP" + ScoringMethodSSVC ScoringMethod = "SSVC" ) type Service struct { @@ -586,6 +833,141 @@ type SWID struct { Patch *bool `json:"patch,omitempty" xml:"patch,attr,omitempty"` } +type Task struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + UID string `json:"uid,omitempty" xml:"uid,omitempty"` + Name string `json:"name,omitempty" xml:"name,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` + ResourceReferences *[]ResourceReferenceChoice `json:"resourceReferences,omitempty" xml:"resourceReferences>resourceReference,omitempty"` + TaskTypes *[]TaskType `json:"taskTypes,omitempty" xml:"taskTypes>taskType,omitempty"` + Trigger *TaskTrigger `json:"trigger,omitempty" xml:"trigger,omitempty"` + Steps *[]TaskStep `json:"steps,omitempty" xml:"steps>step,omitempty"` + Inputs *[]TaskInput `json:"inputs,omitempty" xml:"inputs>input,omitempty"` + Outputs *[]TaskOutput `json:"outputs,omitempty" xml:"outputs>output,omitempty"` + TimeStart string `json:"timeStart,omitempty" xml:"timeStart,omitempty"` + TimeEnd string `json:"timeEnd,omitempty" xml:"timeEnd,omitempty"` + Workspaces *[]TaskWorkspace `json:"workspaces,omitempty" xml:"workspaces>workspace,omitempty"` + RuntimeTopology *[]Dependency `json:"runtimeTopology,omitempty" xml:"runtimeTopology>dependency,omitempty"` +} + +type TaskCommand struct { + Executed string `json:"executed,omitempty" xml:"executed,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskInput struct { + Resource *ResourceReferenceChoice `json:"resource,omitempty" xml:"resource,omitempty"` + Parameters *[]Parameter `json:"parameters,omitempty" xml:"parameters>parameter,omitempty"` + EnvironmentVars *EnvironmentVariables `json:"environmentVars,omitempty" xml:"environmentVars,omitempty"` + Data *AttachedText `json:"data,omitempty" xml:"data,omitempty"` + Source *ResourceReferenceChoice `json:"source,omitempty" xml:"source,omitempty"` + Target *ResourceReferenceChoice `json:"target,omitempty" xml:"target,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskOutput struct { + Resource *ResourceReferenceChoice `json:"resource,omitempty" xml:"resource,omitempty"` + Parameters *[]Parameter `json:"parameters,omitempty" xml:"parameters>parameter,omitempty"` + EnvironmentVars *EnvironmentVariables `json:"environmentVars,omitempty" xml:"environmentVars,omitempty"` + Data *AttachedText `json:"data,omitempty" xml:"data,omitempty"` + Type TaskOutputType `json:"type,omitempty" xml:"type,omitempty"` + Source *ResourceReferenceChoice `json:"source,omitempty" xml:"source,omitempty"` + Target *ResourceReferenceChoice `json:"target,omitempty" xml:"target,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskOutputType string + +const ( + TaskOutputTypeArtifact TaskOutputType = "artifact" + TaskOutputTypeAttestation TaskOutputType = "attestation" + TaskOutputTypeEvidence TaskOutputType = "evidence" + TaskOutputTypeLog TaskOutputType = "log" + TaskOutputTypeMetrics TaskOutputType = "metrics" + TaskOutputTypeOther TaskOutputType = "other" +) + +type TaskStep struct { + Name string `json:"name,omitempty" xml:"name,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + Commands *[]TaskCommand `json:"commands,omitempty" xml:"commands>command,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskTrigger struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + UID string `json:"uid,omitempty" xml:"uid,omitempty"` + Name string `json:"name,omitempty" xml:"name,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + ResourceReferences *[]ResourceReferenceChoice `json:"resourceReferences,omitempty" xml:"resourceReferences>resourceReference,omitempty"` + Type TaskTriggerType `json:"type,omitempty" xml:"type,omitempty"` + Event *Event `json:"event,omitempty" xml:"event,omitempty"` + Conditions *[]TaskTriggerCondition `json:"conditions,omitempty" xml:"conditions>condition,omitempty"` + TimeActivated string `json:"timeActivated,omitempty" xml:"timeActivated,omitempty"` + Inputs *[]TaskInput `json:"inputs,omitempty" xml:"inputs>input,omitempty"` + Outputs *[]TaskOutput `json:"outputs,omitempty" xml:"outputs>output,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskTriggerCondition struct { + Description string `json:"description,omitempty" xml:"description,omitempty"` + Expression string `json:"expression,omitempty" xml:"expression,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskTriggerType string + +const ( + TaskTriggerTypeAPI TaskTriggerType = "api" + TaskTriggerTypeManual TaskTriggerType = "manual" + TaskTriggerTypeScheduled TaskTriggerType = "scheduled" + TaskTriggerTypeWebhook TaskTriggerType = "webhook" +) + +type TaskType string + +const ( + TaskTypeBuild TaskType = "build" + TaskTypeClean TaskType = "clean" + TaskTypeClone TaskType = "clone" + TaskTypeCopy TaskType = "copy" + TaskTypeDeliver TaskType = "deliver" + TaskTypeDeploy TaskType = "deploy" + TaskTypeLint TaskType = "lint" + TaskTypeMerge TaskType = "merge" + TaskTypeOther TaskType = "other" + TaskTypeRelease TaskType = "release" + TaskTypeScan TaskType = "scan" + TaskTypeTest TaskType = "test" +) + +type TaskWorkspace struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + UID string `json:"uid,omitempty" xml:"uid,omitempty"` + Name string `json:"name,omitempty" xml:"name,omitempty"` + Aliases *[]string `json:"aliases,omitempty" xml:"aliases>alias,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + ResourceReferences *[]ResourceReferenceChoice `json:"resourceReferences,omitempty" xml:"resourceReferences>resourceReference,omitempty"` + AccessMode TaskWorkspaceAccessMode `json:"accessMode,omitempty" xml:"accessMode,omitempty"` + MountPath string `json:"mountPath,omitempty" xml:"mountPath,omitempty"` + ManagedDataType string `json:"managedDataType,omitempty" xml:"managedDataType,omitempty"` + VolumeRequest string `json:"volumeRequest,omitempty" xml:"volumeRequest,omitempty"` + Volume *Volume `json:"volume,omitempty" xml:"volume,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type TaskWorkspaceAccessMode string + +const ( + TaskWorkspaceAccessModeReadOnly TaskWorkspaceAccessMode = "read-only" + TaskWorkspaceAccessModeReadWrite TaskWorkspaceAccessMode = "read-write" + TaskWorkspaceAccessModeReadWriteOnce TaskWorkspaceAccessMode = "read-write-once" + TaskWorkspaceAccessModeWriteOnce TaskWorkspaceAccessMode = "write-once" + TaskWorkspaceAccessModeWriteOnly TaskWorkspaceAccessMode = "write-only" +) + +// Deprecated: Use Component or Service instead. type Tool struct { Vendor string `json:"vendor,omitempty" xml:"vendor,omitempty"` Name string `json:"name" xml:"name"` @@ -594,6 +976,38 @@ type Tool struct { ExternalReferences *[]ExternalReference `json:"externalReferences,omitempty" xml:"externalReferences>reference,omitempty"` } +// ToolsChoice represents a union of either Tools (deprecated as of CycloneDX v1.5), and Components or Services. +// +// Encoding or decoding a ToolsChoice with both options present will raise an error. +// When encoding to a SpecVersion lower than SpecVersion1_5, and Components or Services are set, +// they will be automatically converted to legacy Tools. +// +// It is strongly recommended to use Components and Services. However, when consuming BOMs, +// applications should still expect legacy Tools to be present, and handle them accordingly. +type ToolsChoice struct { + Tools *[]Tool `json:"-" xml:"-"` // Deprecated: Use Components and Services instead. + Components *[]Component `json:"-" xml:"-"` + Services *[]Service `json:"-" xml:"-"` +} + +type Volume struct { + UID string `json:"uid,omitempty" xml:"uid,omitempty"` + Name string `json:"name,omitempty" xml:"name,omitempty"` + Mode VolumeMode `json:"mode,omitempty" xml:"mode,omitempty"` + Path string `json:"path,omitempty" xml:"path,omitempty"` + SizeAllocated string `json:"sizeAllocated,omitempty" xml:"sizeAllocated,omitempty"` + Persistent *bool `json:"persistent,omitempty" xml:"persistent,omitempty"` + Remote *bool `json:"remote,omitempty" xml:"remote,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} + +type VolumeMode string + +const ( + VolumeModeBlock VolumeMode = "block" + VolumeModeFilesystem VolumeMode = "file-system" +) + type Vulnerability struct { BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` ID string `json:"id" xml:"id"` @@ -604,12 +1018,15 @@ type Vulnerability struct { Description string `json:"description,omitempty" xml:"description,omitempty"` Detail string `json:"detail,omitempty" xml:"detail,omitempty"` Recommendation string `json:"recommendation,omitempty" xml:"recommendation,omitempty"` + Workaround string `json:"workaround,omitempty" xml:"workaround,omitempty"` + ProofOfConcept *ProofOfConcept `json:"proofOfConcept,omitempty" xml:"proofOfConcept,omitempty"` Advisories *[]Advisory `json:"advisories,omitempty" xml:"advisories>advisory,omitempty"` Created string `json:"created,omitempty" xml:"created,omitempty"` Published string `json:"published,omitempty" xml:"published,omitempty"` Updated string `json:"updated,omitempty" xml:"updated,omitempty"` + Rejected string `json:"rejected,omitempty" xml:"rejected,omitempty"` Credits *Credits `json:"credits,omitempty" xml:"credits,omitempty"` - Tools *[]Tool `json:"tools,omitempty" xml:"tools>tool,omitempty"` + Tools *ToolsChoice `json:"tools,omitempty" xml:"tools,omitempty"` Analysis *VulnerabilityAnalysis `json:"analysis,omitempty" xml:"analysis,omitempty"` Affects *[]Affects `json:"affects,omitempty" xml:"affects>target,omitempty"` Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` @@ -620,6 +1037,8 @@ type VulnerabilityAnalysis struct { Justification ImpactAnalysisJustification `json:"justification,omitempty" xml:"justification,omitempty"` Response *[]ImpactAnalysisResponse `json:"response,omitempty" xml:"responses>response,omitempty"` Detail string `json:"detail,omitempty" xml:"detail,omitempty"` + FirstIssued string `json:"firstIssued,omitempty" xml:"firstIssued,omitempty"` + LastUpdated string `json:"lastUpdated,omitempty" xml:"lastUpdated,omitempty"` } type VulnerabilityRating struct { @@ -643,3 +1062,23 @@ const ( VulnerabilityStatusAffected VulnerabilityStatus = "affected" VulnerabilityStatusNotAffected VulnerabilityStatus = "unaffected" ) + +type Workflow struct { + BOMRef string `json:"bom-ref,omitempty" xml:"bom-ref,attr,omitempty"` + UID string `json:"uid,omitempty" xml:"uid,omitempty"` + Name string `json:"name,omitempty" xml:"name,omitempty"` + Description string `json:"description,omitempty" xml:"description,omitempty"` + ResourceReferences *[]ResourceReferenceChoice `json:"resourceReferences,omitempty" xml:"resourceReferences>resourceReference,omitempty"` + Tasks *[]Task `json:"tasks,omitempty" xml:"tasks>task,omitempty"` + TaskDependencies *[]Dependency `json:"taskDependencies,omitempty" xml:"taskDependencies>dependency"` + TaskTypes *[]TaskType `json:"taskTypes,omitempty" xml:"taskTypes>taskType,omitempty"` + Trigger *TaskTrigger `json:"trigger,omitempty" xml:"trigger,omitempty"` + Steps *[]TaskStep `json:"steps,omitempty" xml:"steps>step,omitempty"` + Inputs *[]TaskInput `json:"inputs,omitempty" xml:"inputs>input,omitempty"` + Outputs *[]TaskOutput `json:"outputs,omitempty" xml:"outputs>output,omitempty"` + TimeStart string `json:"timeStart,omitempty" xml:"timeStart,omitempty"` + TimeEnd string `json:"timeEnd,omitempty" xml:"timeEnd,omitempty"` + Workspaces *[]TaskWorkspace `json:"workspaces,omitempty" xml:"workspaces>workspace,omitempty"` + RuntimeTopology *[]Dependency `json:"runtimeTopology,omitempty" xml:"runtimeTopology>dependency,omitempty"` + Properties *[]Property `json:"properties,omitempty" xml:"properties>property,omitempty"` +} diff --git a/cyclonedx_json.go b/cyclonedx_json.go index f5cc251..1530510 100644 --- a/cyclonedx_json.go +++ b/cyclonedx_json.go @@ -19,8 +19,87 @@ package cyclonedx import ( "encoding/json" + "errors" + "fmt" ) +func (ev EnvironmentVariableChoice) MarshalJSON() ([]byte, error) { + if ev.Property != nil && *ev.Property != (Property{}) { + return json.Marshal(ev.Property) + } else if ev.Value != "" { + return json.Marshal(ev.Value) + } + + return []byte("{}"), nil +} + +func (ev *EnvironmentVariableChoice) UnmarshalJSON(bytes []byte) error { + var property Property + err := json.Unmarshal(bytes, &property) + if err != nil { + var ute *json.UnmarshalTypeError + if !errors.As(err, &ute) || ute.Value != "string" { + return err + } + } + + if property != (Property{}) { + ev.Property = &property + return nil + } + + var value string + err = json.Unmarshal(bytes, &value) + if err != nil { + var ute *json.UnmarshalTypeError + if !errors.As(err, &ute) || ute.Value != "object" { + return err + } + } + + ev.Value = value + return nil +} + +type mlDatasetChoiceRefJSON struct { + Ref string `json:"ref" xml:"-"` +} + +func (dc MLDatasetChoice) MarshalJSON() ([]byte, error) { + if dc.Ref != "" { + return json.Marshal(mlDatasetChoiceRefJSON{Ref: dc.Ref}) + } else if dc.ComponentData != nil { + return json.Marshal(dc.ComponentData) + } + + return []byte("{}"), nil +} + +func (dc *MLDatasetChoice) UnmarshalJSON(bytes []byte) error { + var refObj mlDatasetChoiceRefJSON + err := json.Unmarshal(bytes, &refObj) + if err != nil { + return err + } + + if refObj.Ref != "" { + dc.Ref = refObj.Ref + return nil + } + + var componentData ComponentData + err = json.Unmarshal(bytes, &componentData) + if err != nil { + return err + } + + if componentData != (ComponentData{}) { + dc.ComponentData = &componentData + } + + return nil +} + func (sv SpecVersion) MarshalJSON() ([]byte, error) { return json.Marshal(sv.String()) } @@ -52,6 +131,60 @@ func (sv *SpecVersion) UnmarshalJSON(bytes []byte) error { return nil } +type toolsChoiceJSON struct { + Components *[]Component `json:"components,omitempty" xml:"-"` + Services *[]Service `json:"services,omitempty" xml:"-"` +} + +func (tc ToolsChoice) MarshalJSON() ([]byte, error) { + if tc.Tools != nil && (tc.Components != nil || tc.Services != nil) { + return nil, fmt.Errorf("either a list of tools, or an object holding components and services can be used, but not both") + } + + if tc.Tools != nil { + return json.Marshal(tc.Tools) + } + + choiceJSON := toolsChoiceJSON{ + Components: tc.Components, + Services: tc.Services, + } + if choiceJSON.Components != nil || choiceJSON.Services != nil { + return json.Marshal(choiceJSON) + } + + return []byte(nil), nil +} + +func (tc *ToolsChoice) UnmarshalJSON(bytes []byte) error { + var choiceJSON toolsChoiceJSON + err := json.Unmarshal(bytes, &choiceJSON) + if err != nil { + var typeErr *json.UnmarshalTypeError + if !errors.As(err, &typeErr) || typeErr.Value != "array" { + return err + } + + var legacyTools []Tool + err = json.Unmarshal(bytes, &legacyTools) + if err != nil { + return err + } + + *tc = ToolsChoice{Tools: &legacyTools} + return nil + } + + if choiceJSON.Components != nil || choiceJSON.Services != nil { + *tc = ToolsChoice{ + Components: choiceJSON.Components, + Services: choiceJSON.Services, + } + } + + return nil +} + var jsonSchemas = map[SpecVersion]string{ SpecVersion1_0: "", SpecVersion1_1: "", diff --git a/cyclonedx_json_test.go b/cyclonedx_json_test.go index 2c09340..c6436f5 100644 --- a/cyclonedx_json_test.go +++ b/cyclonedx_json_test.go @@ -16,3 +16,153 @@ // Copyright (c) OWASP Foundation. All Rights Reserved. package cyclonedx + +import ( + "encoding/json" + "github.com/stretchr/testify/require" + "testing" +) + +func TestEnvironmentVariableChoice_MarshalJSON(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + choice := EnvironmentVariableChoice{} + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, "{}", string(jsonBytes)) + }) + + t.Run("WithProperty", func(t *testing.T) { + choice := EnvironmentVariableChoice{ + Property: &Property{ + Name: "foo", + Value: "bar", + }, + } + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `{"name":"foo","value":"bar"}`, string(jsonBytes)) + }) + + t.Run("WithValue", func(t *testing.T) { + choice := EnvironmentVariableChoice{Value: "foo"} + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `"foo"`, string(jsonBytes)) + }) + + t.Run("WithPropertyAndValue", func(t *testing.T) { + choice := EnvironmentVariableChoice{ + Property: &Property{ + Name: "foo", + Value: "bar", + }, + Value: "baz", + } + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `{"name":"foo","value":"bar"}`, string(jsonBytes)) + }) +} + +func TestEnvironmentVariableChoice_UnmarshalJSON(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + var choice EnvironmentVariableChoice + err := json.Unmarshal([]byte(`{}`), &choice) + require.NoError(t, err) + require.Equal(t, EnvironmentVariableChoice{}, choice) + }) + + t.Run("WithProperty", func(t *testing.T) { + var choice EnvironmentVariableChoice + err := json.Unmarshal([]byte(`{"name":"foo","value":"bar"}`), &choice) + require.NoError(t, err) + require.NotNil(t, choice.Property) + require.Equal(t, "foo", choice.Property.Name) + require.Equal(t, "bar", choice.Property.Value) + require.Empty(t, choice.Value) + }) + + t.Run("WithValue", func(t *testing.T) { + var choice EnvironmentVariableChoice + err := json.Unmarshal([]byte(`"foo"`), &choice) + require.NoError(t, err) + require.Nil(t, choice.Property) + require.Equal(t, "foo", choice.Value) + }) +} + +func TestMLDatasetChoice_MarshalJSON(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + choice := MLDatasetChoice{} + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, "{}", string(jsonBytes)) + }) + + t.Run("WithRef", func(t *testing.T) { + choice := MLDatasetChoice{Ref: "foo"} + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `{"ref":"foo"}`, string(jsonBytes)) + }) + + t.Run("WithComponentData", func(t *testing.T) { + choice := MLDatasetChoice{ + ComponentData: &ComponentData{ + BOMRef: "foo", + Name: "bar", + }, + } + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `{"bom-ref":"foo","name":"bar"}`, string(jsonBytes)) + }) + + t.Run("WithRefAndComponentData", func(t *testing.T) { + choice := MLDatasetChoice{ + Ref: "foo", + ComponentData: &ComponentData{ + BOMRef: "bar", + Name: "baz", + }, + } + jsonBytes, err := json.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `{"ref":"foo"}`, string(jsonBytes)) + }) +} + +func TestMLDatasetChoice_UnmarshalJSON(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + var choice MLDatasetChoice + err := json.Unmarshal([]byte(`{}`), &choice) + require.NoError(t, err) + require.Equal(t, MLDatasetChoice{}, choice) + }) + + t.Run("WithRef", func(t *testing.T) { + var choice MLDatasetChoice + err := json.Unmarshal([]byte(`{"ref":"foo"}`), &choice) + require.NoError(t, err) + require.Equal(t, "foo", choice.Ref) + require.Nil(t, choice.ComponentData) + }) + + t.Run("WithComponentData", func(t *testing.T) { + var choice MLDatasetChoice + err := json.Unmarshal([]byte(`{"bom-ref":"foo","name":"bar"}`), &choice) + require.NoError(t, err) + require.Empty(t, choice.Ref) + require.NotNil(t, choice.ComponentData) + require.Equal(t, "foo", choice.ComponentData.BOMRef) + require.Equal(t, "bar", choice.ComponentData.Name) + }) + + t.Run("WithRefAndComponentData", func(t *testing.T) { + var choice MLDatasetChoice + err := json.Unmarshal([]byte(`{"ref":"foo","bom-ref":"bar","name":"baz"}`), &choice) + require.NoError(t, err) + require.Equal(t, "foo", choice.Ref) + require.Nil(t, choice.ComponentData) + }) +} diff --git a/cyclonedx_xml.go b/cyclonedx_xml.go index 8f3caa8..32eb80c 100644 --- a/cyclonedx_xml.go +++ b/cyclonedx_xml.go @@ -97,6 +97,75 @@ func (d *Dependency) UnmarshalXML(dec *xml.Decoder, start xml.StartElement) erro return nil } +func (ev EnvironmentVariables) MarshalXML(e *xml.Encoder, start xml.StartElement) error { + if len(ev) == 0 { + return nil + } + + err := e.EncodeToken(start) + if err != nil { + return err + } + + for _, choice := range ev { + if choice.Property != nil && choice.Value != "" { + return fmt.Errorf("either property or value must be set, but not both") + } + + if choice.Property != nil { + err = e.EncodeElement(choice.Property, xml.StartElement{Name: xml.Name{Local: "environmentVar"}}) + if err != nil { + return err + } + } else if choice.Value != "" { + err = e.EncodeElement(choice.Value, xml.StartElement{Name: xml.Name{Local: "value"}}) + if err != nil { + return err + } + } + } + + return e.EncodeToken(start.End()) +} + +func (ev *EnvironmentVariables) UnmarshalXML(d *xml.Decoder, _ xml.StartElement) error { + envVars := make([]EnvironmentVariableChoice, 0) + + for { + token, err := d.Token() + if err != nil { + if errors.Is(err, io.EOF) { + break + } + return err + } + + switch tokenType := token.(type) { + case xml.StartElement: + if tokenType.Name.Local == "value" { + var value string + err = d.DecodeElement(&value, &tokenType) + if err != nil { + return err + } + envVars = append(envVars, EnvironmentVariableChoice{Value: value}) + } else if tokenType.Name.Local == "environmentVar" { + var property Property + err = d.DecodeElement(&property, &tokenType) + if err != nil { + return err + } + envVars = append(envVars, EnvironmentVariableChoice{Property: &property}) + } else { + return fmt.Errorf("unknown element: %s", tokenType.Name.Local) + } + } + } + + *ev = envVars + return nil +} + func (l Licenses) MarshalXML(e *xml.Encoder, start xml.StartElement) error { if len(l) == 0 { return nil @@ -161,6 +230,44 @@ func (l *Licenses) UnmarshalXML(d *xml.Decoder, _ xml.StartElement) error { return nil } +type mlDatasetChoiceRefXML struct { + Ref string `json:"-" xml:"ref"` +} + +type mlDatasetChoiceXML struct { + Ref string `json:"-" xml:"ref"` + ComponentData +} + +func (dc MLDatasetChoice) MarshalXML(e *xml.Encoder, start xml.StartElement) error { + if dc.Ref != "" { + return e.EncodeElement(mlDatasetChoiceRefXML{Ref: dc.Ref}, start) + } else if dc.ComponentData != nil { + return e.EncodeElement(dc.ComponentData, start) + } + + return nil +} + +func (dc *MLDatasetChoice) UnmarshalXML(d *xml.Decoder, start xml.StartElement) error { + var choice mlDatasetChoiceXML + err := d.DecodeElement(&choice, &start) + if err != nil { + return err + } + + if choice.Ref != "" { + dc.Ref = choice.Ref + return nil + } + + if choice.ComponentData != (ComponentData{}) { + dc.ComponentData = &choice.ComponentData + } + + return nil +} + func (sv SpecVersion) MarshalXML(e *xml.Encoder, start xml.StartElement) error { return e.EncodeElement(sv.String(), start) } @@ -192,6 +299,111 @@ func (sv *SpecVersion) UnmarshalXML(d *xml.Decoder, start xml.StartElement) erro return nil } +// toolsChoiceMarshalXML is a helper struct for marshalling ToolsChoice. +type toolsChoiceMarshalXML struct { + LegacyTools *[]Tool `json:"-" xml:"tool,omitempty"` + Components *[]Component `json:"-" xml:"components>component,omitempty"` + Services *[]Service `json:"-" xml:"services>service,omitempty"` +} + +// toolsChoiceUnmarshalXML is a helper struct for unmarshalling tools represented +// as components and / or services. It is intended to be used with the streaming XML API. +// +// <-- cursor should be here when unmarshalling this! +// +// foo +// +// +type toolsChoiceUnmarshalXML struct { + Components *[]Component `json:"-" xml:"component,omitempty"` + Services *[]Service `json:"-" xml:"service,omitempty"` +} + +func (tc ToolsChoice) MarshalXML(e *xml.Encoder, start xml.StartElement) error { + if tc.Tools != nil && (tc.Components != nil || tc.Services != nil) { + return fmt.Errorf("either a list of tools, or an object holding components and services can be used, but not both") + } + + if tc.Tools != nil { + return e.EncodeElement(toolsChoiceMarshalXML{LegacyTools: tc.Tools}, start) + } + + tools := toolsChoiceMarshalXML{ + Components: tc.Components, + Services: tc.Services, + } + if tools.Components != nil || tools.Services != nil { + return e.EncodeElement(tools, start) + } + + return nil +} + +func (tc *ToolsChoice) UnmarshalXML(d *xml.Decoder, _ xml.StartElement) error { + var components []Component + var services []Service + legacyTools := make([]Tool, 0) + + for { + token, err := d.Token() + if err != nil { + if errors.Is(err, io.EOF) { + break + } + return err + } + + switch tokenType := token.(type) { + case xml.StartElement: + if tokenType.Name.Local == "tool" { + var tool Tool + if err = d.DecodeElement(&tool, &tokenType); err != nil { + return err + } + legacyTools = append(legacyTools, tool) + } else if tokenType.Name.Local == "components" { + var foo toolsChoiceUnmarshalXML + if err = d.DecodeElement(&foo, &tokenType); err != nil { + return err + } + if foo.Components != nil { + components = *foo.Components + } + } else if tokenType.Name.Local == "services" { + var foo toolsChoiceUnmarshalXML + if err = d.DecodeElement(&foo, &tokenType); err != nil { + return err + } + if foo.Services != nil { + services = *foo.Services + } + } else { + return fmt.Errorf("unknown element: %s", tokenType.Name.Local) + } + } + } + + choice := ToolsChoice{} + if len(legacyTools) > 0 && (len(components) > 0 || len(services) > 0) { + return fmt.Errorf("either a list of tools, or an object holding components and services can be used, but not both") + } + if len(components) > 0 { + choice.Components = &components + } + if len(services) > 0 { + choice.Services = &services + } + if len(legacyTools) > 0 { + choice.Tools = &legacyTools + } + + if choice.Tools != nil || choice.Components != nil || choice.Services != nil { + *tc = choice + } + + return nil +} + var xmlNamespaces = map[SpecVersion]string{ SpecVersion1_0: "http://cyclonedx.org/schema/bom/1.0", SpecVersion1_1: "http://cyclonedx.org/schema/bom/1.1", diff --git a/cyclonedx_xml_test.go b/cyclonedx_xml_test.go index 25c1e4a..85273b1 100644 --- a/cyclonedx_xml_test.go +++ b/cyclonedx_xml_test.go @@ -26,57 +26,67 @@ import ( ) func TestBOMReference_MarshalXML(t *testing.T) { - // Marshal empty bomRef - bomRef := BOMReference("") - xmlBytes, err := xml.Marshal(bomRef) - assert.NoError(t, err) - assert.Equal(t, "", string(xmlBytes)) + t.Run("Empty", func(t *testing.T) { + bomRef := BOMReference("") + xmlBytes, err := xml.Marshal(bomRef) + require.NoError(t, err) + require.Equal(t, "", string(xmlBytes)) + }) - // Marshal bomRef - bomRef = "bomRef" - xmlBytes, err = xml.Marshal(bomRef) - assert.NoError(t, err) - assert.Equal(t, "", string(xmlBytes)) + t.Run("NonEmpty", func(t *testing.T) { + bomRef := BOMReference("bomRef") + xmlBytes, err := xml.Marshal(bomRef) + require.NoError(t, err) + require.Equal(t, "", string(xmlBytes)) + }) } func TestBOMReference_UnmarshalXML(t *testing.T) { - // Unmarshal empty bomRef - bomRef := new(BOMReference) - err := xml.Unmarshal([]byte(""), bomRef) - require.NoError(t, err) - require.Equal(t, "", string(*bomRef)) - - // Unmarshal bomRef - err = xml.Unmarshal([]byte(""), bomRef) - require.NoError(t, err) - require.Equal(t, "bomRef", string(*bomRef)) + t.Run("Empty", func(t *testing.T) { + bomRef := new(BOMReference) + err := xml.Unmarshal([]byte(""), bomRef) + require.NoError(t, err) + require.Equal(t, "", string(*bomRef)) + }) + + t.Run("NonEmpty", func(t *testing.T) { + bomRef := new(BOMReference) + err := xml.Unmarshal([]byte(""), bomRef) + require.NoError(t, err) + require.Equal(t, "bomRef", string(*bomRef)) + }) } func TestCopyright_MarshalXML(t *testing.T) { - // Marshal empty copyright - copyright := Copyright{} - xmlBytes, err := xml.Marshal(copyright) - require.NoError(t, err) - require.Equal(t, "", string(xmlBytes)) - - // Marshal copyright - copyright.Text = "copyright" - xmlBytes, err = xml.Marshal(copyright) - require.NoError(t, err) - require.Equal(t, "copyright", string(xmlBytes)) + t.Run("Empty", func(t *testing.T) { + copyright := Copyright{} + xmlBytes, err := xml.Marshal(copyright) + require.NoError(t, err) + require.Equal(t, "", string(xmlBytes)) + }) + + t.Run("NonEmpty", func(t *testing.T) { + copyright := Copyright{Text: "copyright"} + xmlBytes, err := xml.Marshal(copyright) + require.NoError(t, err) + require.Equal(t, "copyright", string(xmlBytes)) + }) } func TestCopyright_UnmarshalXML(t *testing.T) { - // Unmarshal empty copyright - copyright := new(Copyright) - err := xml.Unmarshal([]byte(""), copyright) - require.NoError(t, err) - require.Equal(t, "", copyright.Text) - - // Unmarshal copyright - err = xml.Unmarshal([]byte("copyright"), copyright) - require.NoError(t, err) - require.Equal(t, "copyright", copyright.Text) + t.Run("Empty", func(t *testing.T) { + copyright := new(Copyright) + err := xml.Unmarshal([]byte(""), copyright) + require.NoError(t, err) + require.Equal(t, "", copyright.Text) + }) + + t.Run("NonEmpty", func(t *testing.T) { + copyright := new(Copyright) + err := xml.Unmarshal([]byte("copyright"), copyright) + require.NoError(t, err) + require.Equal(t, "copyright", copyright.Text) + }) } func TestDependency_MarshalXML(t *testing.T) { @@ -137,6 +147,72 @@ func TestDependency_UnmarshalXML(t *testing.T) { }) } +func TestEnvironmentVariables_MarshalXML(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + envVars := EnvironmentVariables{} + xmlBytes, err := xml.Marshal(envVars) + require.NoError(t, err) + require.Equal(t, "", string(xmlBytes)) + }) + + t.Run("NonEmpty", func(t *testing.T) { + envVars := EnvironmentVariables{ + EnvironmentVariableChoice{ + Property: &Property{ + Name: "foo", + Value: "bar", + }, + }, + EnvironmentVariableChoice{ + Value: "baz", + }, + } + xmlBytes, err := xml.Marshal(envVars) + require.NoError(t, err) + require.Equal(t, `barbaz`, string(xmlBytes)) + }) + + t.Run("WithChoiceHavingBothPropertyAndValue", func(t *testing.T) { + envVars := EnvironmentVariables{ + EnvironmentVariableChoice{ + Property: &Property{ + Name: "foo", + Value: "bar", + }, + Value: "baz", + }, + } + _, err := xml.Marshal(envVars) + require.EqualError(t, err, "either property or value must be set, but not both") + }) +} + +func TestEnvironmentVariables_UnmarshalXML(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + envVars := EnvironmentVariables{} + err := xml.Unmarshal([]byte(""), &envVars) + require.NoError(t, err) + require.Empty(t, envVars) + }) + + t.Run("NonEmpty", func(t *testing.T) { + envVars := EnvironmentVariables{} + err := xml.Unmarshal([]byte(` + + bar + baz +`), &envVars) + require.NoError(t, err) + require.Len(t, envVars, 2) + require.NotNil(t, envVars[0].Property) + require.Equal(t, "foo", envVars[0].Property.Name) + require.Equal(t, "bar", envVars[0].Property.Value) + require.Empty(t, envVars[0].Value) + require.Nil(t, envVars[1].Property) + require.Equal(t, "baz", envVars[1].Value) + }) +} + func TestLicenses_MarshalXML(t *testing.T) { // Marshal license and expressions licenses := Licenses{ @@ -217,3 +293,79 @@ func TestLicenses_UnmarshalXML(t *testing.T) { err = xml.Unmarshal([]byte("expressionValue"), licenses) assert.Error(t, err) } + +func TestMLDatasetChoice_MarshalXML(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + choice := MLDatasetChoice{} + xmlBytes, err := xml.Marshal(choice) + require.NoError(t, err) + require.Equal(t, "", string(xmlBytes)) + }) + + t.Run("WithRef", func(t *testing.T) { + choice := MLDatasetChoice{Ref: "foo"} + xmlBytes, err := xml.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `foo`, string(xmlBytes)) + }) + + t.Run("WithComponentData", func(t *testing.T) { + choice := MLDatasetChoice{ + ComponentData: &ComponentData{ + BOMRef: "foo", + Name: "bar", + }, + } + xmlBytes, err := xml.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `bar`, string(xmlBytes)) + }) + + t.Run("WithRefAndComponentData", func(t *testing.T) { + choice := MLDatasetChoice{ + Ref: "foo", + ComponentData: &ComponentData{ + BOMRef: "bar", + Name: "baz", + }, + } + xmlBytes, err := xml.Marshal(choice) + require.NoError(t, err) + require.Equal(t, `foo`, string(xmlBytes)) + }) +} + +func TestMLDatasetChoice_UnmarshalXML(t *testing.T) { + t.Run("Empty", func(t *testing.T) { + var choice MLDatasetChoice + err := xml.Unmarshal([]byte(``), &choice) + require.NoError(t, err) + require.Equal(t, MLDatasetChoice{}, choice) + }) + + t.Run("WithRef", func(t *testing.T) { + var choice MLDatasetChoice + err := xml.Unmarshal([]byte(`foo`), &choice) + require.NoError(t, err) + require.Equal(t, "foo", choice.Ref) + require.Nil(t, choice.ComponentData) + }) + + t.Run("WithComponentData", func(t *testing.T) { + var choice MLDatasetChoice + err := xml.Unmarshal([]byte(`bar`), &choice) + require.NoError(t, err) + require.Empty(t, choice.Ref) + require.NotNil(t, choice.ComponentData) + require.Equal(t, "foo", choice.ComponentData.BOMRef) + require.Equal(t, "bar", choice.ComponentData.Name) + }) + + t.Run("WithRefAndComponentData", func(t *testing.T) { + var choice MLDatasetChoice + err := xml.Unmarshal([]byte(`foobaz`), &choice) + require.NoError(t, err) + require.Equal(t, "foo", choice.Ref) + require.Nil(t, choice.ComponentData) + }) +} diff --git a/example_test.go b/example_test.go index 7c21f8a..efe2dcd 100644 --- a/example_test.go +++ b/example_test.go @@ -133,7 +133,7 @@ func Example_decode() { } fmt.Printf("Successfully decoded BOM of %s\n", bom.Metadata.Component.PackageURL) - fmt.Printf("- Generated: %s with %s\n", bom.Metadata.Timestamp, (*bom.Metadata.Tools)[0].Name) + fmt.Printf("- Generated: %s with %s\n", bom.Metadata.Timestamp, (*bom.Metadata.Tools.Tools)[0].Name) fmt.Printf("- Components: %d\n", len(*bom.Components)) // Output: diff --git a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.2.bom.json b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.2.bom.json index f95dcb7..6de3628 100644 --- a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.2.bom.json +++ b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.2.bom.json @@ -8,7 +8,6 @@ "timestamp": "2020-04-13T20:20:39+00:00", "tools": [ { - "vendor": "Awesome Vendor", "name": "Awesome Tool", "version": "9.1.2", "hashes": [ @@ -21,6 +20,10 @@ "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" } ] + }, + { + "vendor": "Acme Org", + "name": "Acme Signing Server" } ], "authors": [ @@ -102,7 +105,7 @@ "license": { "id": "Apache-2.0", "text": { - "content": "License text here", + "content": "
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

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   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
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   Licensed under the Apache License, Version 2.0 (the "License");
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   limitations under the License.", "contentType": "text/plain", "encoding": "base64" }, @@ -130,9 +133,12 @@ ], "commits": [ { - "uid": "123", + "uid": "7638417db6d59f3c431d3e1f261cc637155684cd", + "url": "https://location/to/7638417db6d59f3c431d3e1f261cc637155684cd", "author": { - "timestamp": "2018-11-13T20:20:39+00:00" + "timestamp": "2018-11-13T20:20:39+00:00", + "name": "me", + "email": "me@acme.org" } } ] diff --git a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.3.bom.json b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.3.bom.json index e71d0ab..9f1522e 100644 --- a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.3.bom.json +++ b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.3.bom.json @@ -8,7 +8,6 @@ "timestamp": "2020-04-13T20:20:39+00:00", "tools": [ { - "vendor": "Awesome Vendor", "name": "Awesome Tool", "version": "9.1.2", "hashes": [ @@ -21,6 +20,10 @@ "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" } ] + }, + { + "vendor": "Acme Org", + "name": "Acme Signing Server" } ], "authors": [ @@ -102,7 +105,7 @@ "license": { "id": "Apache-2.0", "text": { - "content": "License text here", + "content": "
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

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      "control" means (i) the power, direct or indirect, to cause the
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      outstanding shares, or (iii) beneficial ownership of such entity.

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      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
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      "Derivative Works" shall mean any work, whether in Source or Object
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      editorial revisions, annotations, elaborations, or other modifications
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      Work or Derivative Works thereof in any medium, with or without
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      (b) You must cause any modified files to carry prominent notices
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      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

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      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.", "contentType": "text/plain", "encoding": "base64" }, @@ -130,9 +133,12 @@ ], "commits": [ { - "uid": "123", + "uid": "7638417db6d59f3c431d3e1f261cc637155684cd", + "url": "https://location/to/7638417db6d59f3c431d3e1f261cc637155684cd", "author": { - "timestamp": "2018-11-13T20:20:39+00:00" + "timestamp": "2018-11-13T20:20:39+00:00", + "name": "me", + "email": "me@acme.org" } } ] diff --git a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.4.bom.json b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.4.bom.json index e757fe6..622b914 100644 --- a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.4.bom.json +++ b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.4.bom.json @@ -8,7 +8,6 @@ "timestamp": "2020-04-13T20:20:39+00:00", "tools": [ { - "vendor": "Awesome Vendor", "name": "Awesome Tool", "version": "9.1.2", "hashes": [ @@ -21,6 +20,10 @@ "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" } ] + }, + { + "vendor": "Acme Org", + "name": "Acme Signing Server" } ], "authors": [ @@ -102,7 +105,7 @@ "license": { "id": "Apache-2.0", "text": { - "content": "License text here", + "content": "
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright owner
      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.", "contentType": "text/plain", "encoding": "base64" }, @@ -130,9 +133,12 @@ ], "commits": [ { - "uid": "123", + "uid": "7638417db6d59f3c431d3e1f261cc637155684cd", + "url": "https://location/to/7638417db6d59f3c431d3e1f261cc637155684cd", "author": { - "timestamp": "2018-11-13T20:20:39+00:00" + "timestamp": "2018-11-13T20:20:39+00:00", + "name": "me", + "email": "me@acme.org" } } ] diff --git a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.5.bom.json b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.5.bom.json index 9a8c46d..2704a76 100644 --- a/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.5.bom.json +++ b/testdata/snapshots/cyclonedx-go-TestJsonBOMEncoder_EncodeVersion-func3-1.5.bom.json @@ -6,23 +6,44 @@ "version": 1, "metadata": { "timestamp": "2020-04-13T20:20:39+00:00", - "tools": [ - { - "vendor": "Awesome Vendor", - "name": "Awesome Tool", - "version": "9.1.2", - "hashes": [ - { - "alg": "SHA-1", - "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + "tools": { + "components": [ + { + "type": "application", + "group": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Org", + "url": [ + "https://example.com" + ] }, - { - "alg": "SHA-256", - "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" - } - ] - } - ], + "group": "com.example", + "name": "Acme Signing Server", + "description": "Signs artifacts", + "endpoints": [ + "https://example.com/sign", + "https://example.com/verify", + "https://example.com/tsa" + ] + } + ] + }, "authors": [ { "name": "Samantha Wright", @@ -102,7 +123,7 @@ "license": { "id": "Apache-2.0", "text": { - "content": "License text here", + "content": "
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright owner
      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.", "contentType": "text/plain", "encoding": "base64" }, @@ -130,9 +151,12 @@ ], "commits": [ { - "uid": "123", + "uid": "7638417db6d59f3c431d3e1f261cc637155684cd", + "url": "https://location/to/7638417db6d59f3c431d3e1f261cc637155684cd", "author": { - "timestamp": "2018-11-13T20:20:39+00:00" + "timestamp": "2018-11-13T20:20:39+00:00", + "name": "me", + "email": "me@acme.org" } } ] diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-bom.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-bom.json index 353a4e7..f233380 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-bom.json +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-bom.json @@ -5,23 +5,44 @@ "version": 1, "metadata": { "timestamp": "2020-04-13T20:20:39+00:00", - "tools": [ - { - "vendor": "Awesome Vendor", - "name": "Awesome Tool", - "version": "9.1.2", - "hashes": [ - { - "alg": "SHA-1", - "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + "tools": { + "components": [ + { + "type": "application", + "group": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Org", + "url": [ + "https://example.com" + ] }, - { - "alg": "SHA-256", - "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" - } - ] - } - ], + "group": "com.example", + "name": "Acme Signing Server", + "description": "Signs artifacts", + "endpoints": [ + "https://example.com/sign", + "https://example.com/verify", + "https://example.com/tsa" + ] + } + ] + }, "authors": [ { "name": "Samantha Wright", @@ -101,7 +122,7 @@ "license": { "id": "Apache-2.0", "text": { - "content": "License text here", + "content": "
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
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   limitations under the License.", "contentType": "text/plain", "encoding": "base64" }, @@ -129,9 +150,12 @@ ], "commits": [ { - "uid": "123", + "uid": "7638417db6d59f3c431d3e1f261cc637155684cd", + "url": "https://location/to/7638417db6d59f3c431d3e1f261cc637155684cd", "author": { - "timestamp": "2018-11-13T20:20:39+00:00" + "timestamp": "2018-11-13T20:20:39+00:00", + "name": "me", + "email": "me@acme.org" } } ] diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-compositions.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-compositions.json index 0bb37e0..ca75376 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-compositions.json +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-compositions.json @@ -46,6 +46,7 @@ ], "compositions": [ { + "bom-ref": "composition-1", "aggregate": "complete", "assemblies": [ "pkg:maven/partner/shaded-library@1.0" @@ -59,6 +60,21 @@ "assemblies": [ "pkg:maven/acme/library@3.0" ] + }, + { + "aggregate": "incomplete_first_party_only", + "vulnerabilities": [ + "vulnerability-1" + ] + } + ], + "vulnerabilities": [ + { + "bom-ref": "vulnerability-1", + "id": "ACME-12345", + "source": { + "name": "Acme Inc" + } } ] } diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-evidence.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-evidence.json index 9d8c347..d59f71f 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-evidence.json +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-evidence.json @@ -19,6 +19,65 @@ ], "purl": "pkg:maven/com.google.code.findbugs/findbugs-project@3.0.0", "evidence": { + "identity": { + "field": "purl", + "confidence": 1, + "methods": [ + { + "technique": "filename", + "confidence": 0.1, + "value": "findbugs-project-3.0.0.jar" + }, + { + "technique": "ast-fingerprint", + "confidence": 0.9, + "value": "61e4bc08251761c3a73b606b9110a65899cb7d44f3b14c81ebc1e67c98e1d9ab" + }, + { + "technique": "hash-comparison", + "confidence": 0.7, + "value": "7c547a9d67cc7bc315c93b6e2ff8e4b6b41ae5be454ac249655ecb5ca2a85abf" + } + ], + "tools": [ + "bom-ref-of-tool-that-performed-analysis" + ] + }, + "occurrences": [ + { + "bom-ref": "d6bf237e-4e11-4713-9f62-56d18d5e2079", + "location": "/path/to/component" + }, + { + "bom-ref": "b574d5d1-e3cf-4dcd-9ba5-f3507eb1b175", + "location": "/another/path/to/component" + } + ], + "callstack": { + "frames": [ + { + "package": "com.apache.logging.log4j.core", + "module": "Logger.class", + "function": "logMessage", + "parameters": [ + "com.acme.HelloWorld", + "Level.INFO", + "null", + "Hello World" + ], + "line": 150, + "column": 17, + "fullFilename": "/path/to/log4j-core-2.14.0.jar!/org/apache/logging/log4j/core/Logger.class" + }, + { + "module": "HelloWorld.class", + "function": "main", + "line": 20, + "column": 12, + "fullFilename": "/path/to/HelloWorld.class" + } + ] + }, "licenses": [ { "license": { diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-formulation.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-formulation.json new file mode 100644 index 0000000..64cba16 --- /dev/null +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-formulation.json @@ -0,0 +1,307 @@ +{ + "bomFormat": "CycloneDX", + "specVersion": "1.5", + "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", + "version": 1, + "components": [ + { + "type": "library", + "publisher": "Acme Inc", + "group": "org.example", + "name": "mylibrary", + "version": "1.0.0" + } + ], + "formulation": [ + { + "bom-ref": "formula-1", + "components": [ + { + "bom-ref": "component-1", + "type": "platform", + "name": "Pipeline controller image", + "version": "v0.47.0" + } + ], + "workflows": [ + { + "bom-ref": "workflow-1", + "uid": "8edb2b08-e2c7-11ed-b5ea-0242ac120002", + "name": "My workflow", + "description": "Workflow description here", + "resourceReferences": [ + { + "ref": "component-a" + } + ], + "tasks": [ + { + "bom-ref": "task-1", + "uid": "task-uid-1", + "name": "fetch-repository", + "description": "Description here", + "resourceReferences": [ + { + "ref": "component-a" + } + ], + "taskTypes": [ + "clone", + "build" + ], + "trigger": { + "bom-ref": "trigger-1", + "uid": "trigger-1", + "type": "api" + }, + "steps": [ + { + "name": "My step" + } + ], + "inputs": [ + { + "resource": { + "ref": "component-a" + } + } + ], + "outputs": [ + { + "resource": { + "ref": "component-b" + } + } + ], + "timeStart": "2023-01-01T00:00:00+00:00", + "timeEnd": "2023-01-01T00:00:00+00:00", + "workspaces": [ + { + "bom-ref": "workspace-1", + "uid": "workspace-uid-1", + "name": "workspace" + } + ], + "runtimeTopology": [ + { + "ref": "task-1", + "dependsOn": [ + "task-2" + ] + } + ] + } + ], + "taskDependencies": [ + { + "ref": "task-1", + "dependsOn": [ + "task-2" + ] + } + ], + "taskTypes": [ + "clone", + "build" + ], + "trigger": { + "bom-ref": "trigger-2", + "uid": "trigger-uid-2", + "name": "My trigger", + "description": "Description here", + "resourceReferences": [ + { + "ref": "component-a" + } + ], + "type": "api", + "event": { + "uid": "event-1", + "description": "Description here", + "timeReceived": "2023-01-01T00:00:00+00:00", + "data": { + "content": "Foo/Bar", + "contentType": "text/plain" + }, + "source": { + "ref": "component-g" + }, + "target": { + "ref": "component-h" + }, + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + "conditions": [ + { + "description": "Description here", + "expression": "1 == 1", + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ], + "timeActivated": "2023-01-01T00:00:00+00:00", + "inputs": [ + { + "resource": { + "ref": "component-10" + }, + "source": { + "ref": "component-11" + }, + "target": { + "ref": "component-12" + } + } + ], + "outputs": [ + { + "resource": { + "ref": "component-14" + }, + "type": "artifact", + "source": { + "ref": "component-15" + }, + "target": { + "ref": "component-16" + } + } + ], + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + "steps": [ + { + "name": "My step", + "description": "Description here", + "commands": [ + { + "executed": "ls -las", + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ], + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ], + "inputs": [ + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + { + "environmentVars": [ + "FooBar" + ] + }, + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + }, + "FooBar" + ] + } + ], + "outputs": [ + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + { + "environmentVars": [ + "FooBar" + ] + }, + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + }, + "FooBar" + ] + } + ], + "timeStart": "2023-01-01T00:00:00+00:00", + "timeEnd": "2023-01-01T00:00:00+10:00", + "workspaces": [ + { + "bom-ref": "workspace-1", + "uid": "workspace-1", + "name": "My workspace", + "aliases": [ + "default-workspace" + ], + "description": "Description here", + "resourceReferences": [ + { + "ref": "component-t" + } + ], + "accessMode": "read-write", + "mountPath": "/tmp/workspace", + "managedDataType": "ConfigMap", + "volumeRequest": "requestedVolumeClaim", + "volume": { + "uid": "volume-1", + "name": "My volume", + "mode": "filesystem", + "path": "/", + "sizeAllocated": "10GB", + "persistent": true, + "remote": false + } + } + ], + "runtimeTopology": [ + { + "ref": "component-s", + "dependsOn": [ + "component-r" + ] + } + ], + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ] + } + ] +} + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-machine-learning.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-machine-learning.json new file mode 100644 index 0000000..2c00ec5 --- /dev/null +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-machine-learning.json @@ -0,0 +1,101 @@ +{ + "bomFormat": "CycloneDX", + "specVersion": "1.5", + "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", + "version": 1, + "components": [ + { + "bom-ref": "component-a", + "type": "machine-learning-model", + "group": "CompVis", + "name": "stable-diffusion", + "version": "1.4", + "description": "Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion with 🧨Diffusers blog.", + "modelCard": { + "modelParameters": { + "approach": { + "type": "supervised" + }, + "task": "task goes here", + "architectureFamily": "the architecture family goes here", + "modelArchitecture": "The architecture of the model.", + "datasets": [ + { + "type": "dataset", + "name": "Training Data", + "contents": { + "url": "https://example.com/path/to/dataset" + }, + "classification": "public" + } + ], + "inputs": [ + { + "format": "string" + } + ], + "outputs": [ + { + "format": "byte[]" + } + ] + }, + "quantitativeAnalysis": { + "performanceMetrics": [ + { + "type": "The type of performance metric", + "value": "The value of the performance metric", + "slice": "The name of the slice this metric was computed on. By default, assume this metric is not sliced", + "confidenceInterval": { + "lowerBound": "The lower bound of the confidence interval", + "upperBound": "The upper bound of the confidence interval" + } + } + ], + "graphics": { + "description": "Performance images", + "collection": [ + { + "name": "FID vs CLIP Scores on 512x512 samples for different v1-versions", + "image": { + "content": 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+ "contentType": "image/jpeg", + "encoding": "base64" + } + } + ] + } + }, + "considerations": { + "users": [ + "Who are the intended users of the model?" + ], + "useCases": [ + "Who are the intended users of the model?" + ], + "technicalLimitations": [ + "What are the known technical limitations of the model? E.g. What kind(s) of data should the model be expected not to perform well on? What are the factors that might degrade model performance?" + ], + "performanceTradeoffs": [ + "What are the known tradeoffs in accuracy/performance of the model?" + ], + "ethicalConsiderations": [ + { + "name": "The name of the risk", + "mitigationStrategy": "Strategy used to address this risk" + } + ], + "fairnessAssessments": [ + { + "groupAtRisk": "The groups or individuals at risk of being systematically disadvantaged by the model", + "benefits": "Expected benefits to the identified groups", + "harms": "Expected harms to the identified groups", + "mitigationStrategy": "With respect to the benefits and harms outlined, please describe any mitigation strategy implemented." + } + ] + } + } + } + ] +} + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool-deprecated.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool-deprecated.json new file mode 100644 index 0000000..f31655f --- /dev/null +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool-deprecated.json @@ -0,0 +1,27 @@ +{ + "bomFormat": "CycloneDX", + "specVersion": "1.5", + "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", + "version": 1, + "metadata": { + "tools": [ + { + "vendor": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ] + }, + "components": [] +} + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool.json index f31655f..bc4535b 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool.json +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-metadata-tool.json @@ -4,23 +4,44 @@ "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", "version": 1, "metadata": { - "tools": [ - { - "vendor": "Awesome Vendor", - "name": "Awesome Tool", - "version": "9.1.2", - "hashes": [ - { - "alg": "SHA-1", - "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + "tools": { + "components": [ + { + "type": "application", + "group": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Org", + "url": [ + "https://example.com" + ] }, - { - "alg": "SHA-256", - "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" - } - ] - } - ] + "group": "com.example", + "name": "Acme Signing Server", + "description": "Signs artifacts", + "endpoints": [ + "https://example.com/sign", + "https://example.com/verify", + "https://example.com/tsa" + ] + } + ] + } }, "components": [] } diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-vulnerability.json b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-vulnerability.json index a74f87c..d496ddb 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-vulnerability.json +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripJSON-func1-valid-vulnerability.json @@ -39,7 +39,7 @@ "score": 9.8, "severity": "critical", "method": "CVSSv3", - "vector": "AN/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", + "vector": "AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "justification": "An optional reason for rating the vulnerability as it was" } ], @@ -49,6 +49,18 @@ ], "description": "FasterXML jackson-databind before 2.7.9.3, 2.8.x before 2.8.11.1 and 2.9.x before 2.9.5 allows unauthenticated remote code execution because of an incomplete fix for the CVE-2017-7525 deserialization flaw. This is exploitable by sending maliciously crafted JSON input to the readValue method of the ObjectMapper, bypassing a blacklist that is ineffective if the c3p0 libraries are available in the classpath.", "recommendation": "Upgrade com.fasterxml.jackson.core:jackson-databind to version 2.6.7.5, 2.8.11.1, 2.9.5 or higher.", + "workaround": "Describe the workarounds here", + "proofOfConcept": { + "reproductionSteps": "Precise steps to reproduce go here", + "environment": "Describe the environment", + "supportingMaterial": [ + { + "content": 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+ "contentType": "image/jpeg", + "encoding": "base64" + } + ] + }, "advisories": [ { "title": "GitHub Commit", @@ -62,6 +74,7 @@ "created": "2021-01-01T00:00:00.000Z", "published": "2021-01-01T00:00:00.000Z", "updated": "2021-01-01T00:00:00.000Z", + "rejected": "2022-01-01T00:00:00.000Z", "credits": { "organizations": [ { @@ -78,19 +91,33 @@ } ] }, - "tools": [ - { - "vendor": "Snyk", - "name": "Snyk CLI (Linux)", - "version": "1.729.0", - "hashes": [ - { - "alg": "SHA-256", - "content": "2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d" - } - ] - } - ], + "tools": { + "components": [ + { + "type": "application", + "group": "Snyk", + "name": "Snyk CLI (Linux)", + "version": "1.729.0", + "hashes": [ + { + "alg": "SHA-256", + "content": "2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Inc" + }, + "name": "Acme BOM Analyzer", + "endpoints": [ + "https://example.com/analyze" + ] + } + ] + }, "analysis": { "state": "not_affected", "justification": "code_not_reachable", @@ -98,11 +125,13 @@ "will_not_fix", "update" ], - "detail": "An optional explanation of why the application is not affected by the vulnerable component." + "detail": "An optional explanation of why the application is not affected by the vulnerable component.", + "firstIssued": "2022-01-01T00:00:00.000Z", + "lastUpdated": "2022-02-01T00:00:00.000Z" }, "affects": [ { - "ref": "pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.9", + "ref": "pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.4", "versions": [ { "range": "vers:semver/\u003c2.6.7.5", diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-bom.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-bom.xml index dc90631..4c53cf6 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-bom.xml +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-bom.xml @@ -3,15 +3,33 @@ 2020-04-07T07:01:00Z - - Awesome Vendor - Awesome Tool - 9.1.2 - - 25ed8e31b995bb927966616df2a42b979a2717f0 - a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df - - + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + + + Acme Org + https://example.com + + com.example + Acme Signing Server + Signs artifacts + + https://example.com/sign + https://example.com/verify + https://example.com/tsa + + + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-compositions.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-compositions.xml index 54aea6c..34baab1 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-compositions.xml +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-compositions.xml @@ -32,7 +32,7 @@ - + complete @@ -47,5 +47,19 @@ + + incomplete_first_party_only + + + + + + + ACME-12345 + + Acme Inc + + + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-evidence.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-evidence.xml index 647fb7f..8e35160 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-evidence.xml +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-evidence.xml @@ -13,6 +13,63 @@ pkg:maven/com.google.code.findbugs/findbugs-project@3.0.0 + + purl + 1 + + + filename + 0.1 + findbugs-project-3.0.0.jar + + + ast-fingerprint + 0.9 + 61e4bc08251761c3a73b606b9110a65899cb7d44f3b14c81ebc1e67c98e1d9ab + + + hash-comparison + 0.7 + 7c547a9d67cc7bc315c93b6e2ff8e4b6b41ae5be454ac249655ecb5ca2a85abf + + + + + + + + + /path/to/component + + + /another/path/to/component + + + + + + com.apache.logging.log4j.core + Logger.class + logMessage + + com.acme.HelloWorld + Level.INFO + null + Hello World + + 150 + 17 + /path/to/log4j-core-2.14.0.jar!/org/apache/logging/log4j/core/Logger.class + + + HelloWorld.class + main + 20 + 12 + /path/to/HelloWorld.class + + + Apache-2.0 diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-formulation.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-formulation.xml new file mode 100644 index 0000000..c7ff248 --- /dev/null +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-formulation.xml @@ -0,0 +1,251 @@ + + + + + Acme Inc + org.example + mylibrary + 1.0.0 + + + + + + + Pipeline controller image + v0.47.0 + + + + + 8edb2b08-e2c7-11ed-b5ea-0242ac120002 + My workflow + Workflow description here + + + component-a + + + + + task-uid-1 + fetch-repository + Description here + + + component-a + + + + clone + build + + + trigger-1 + api + + + + My step + + + + + + component-a + + + + + + + component-b + + + + 2023-01-01T00:00:00+00:00 + 2023-01-01T00:00:00+00:00 + + + workspace-uid-1 + workspace + + + + + + + + + + + + + + + + clean + build + + + trigger-uid-1 + My trigger + Description here + + + component-a + + + api + + event-1 + Description here + 2023-01-01T00:00:00+00:00 + FooBar + + component-g + + + component-h + + + Bar + + + + + Description here + 1 == 1 + + Bar + + + + 2023-01-01T00:00:00+00:00 + + + + component-10 + + + component-11 + + + component-12 + + + + + + + component-14 + + artifact + + component-15 + + + component-16 + + + + + Bar + + + + + My step + Description here + + + ls -las + + Bar + + + + + Bar + + + + + + + Bar + + + + + FooBar + + + + + Bar + FooBar + + + + + + + Bar + + + + + FooBar + + + + + Bar + FooBar + + + + 2023-01-01T00:00:00+00:00 + 2023-01-01T00:00:00+00:00 + + + workspace-1 + My workspace + + default-workspace + + Description here + + + component-t + + + read-write + /tmp/workspace + ConfigMap + requestedVolumeClaim + + volume-1 + My volume + filesystem + / + 10GB + true + false + + + + + + + + + + Bar + + + + + + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-machine-learning.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-machine-learning.xml new file mode 100644 index 0000000..76276e9 --- /dev/null +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-machine-learning.xml @@ -0,0 +1,92 @@ + + + + + Acme Inc + CompVis + stable-diffusion + 1.4 + Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion with 🧨Diffusers blog. + + + + supervised + + task goes here + the architecture family goes here + The architecture of the model. + + + dataset + Training Data + + https://example.com/path/to/dataset + + public + + + + + string + + + + + string + + + + + + + The type of performance metric + The value of the performance metric + The name of the slice this metric was computed on. By default, assume this metric is not sliced + + The lower bound of the confidence interval + The upper bound of the confidence interval + + + + + Performance images + + + FID vs CLIP Scores on 512x512 samples for different v1-versions + 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+ + + + + + + Who are the intended users of the model? + + + Who are the intended users of the model? + + + What are the known technical limitations of the model? + + + What are the known tradeoffs in accuracy/performance of the model? + + + + The name of the risk + Strategy used to address this risk + + + + + The groups or individuals at risk of being systematically disadvantaged by the model + Expected benefits to the identified groups + Expected harms to the identified groups + With respect to the benefits and harms outlined, please describe any mitigation strategy implemented. + + + + + + + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool-deprecated.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool-deprecated.xml new file mode 100644 index 0000000..bfe8af7 --- /dev/null +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool-deprecated.xml @@ -0,0 +1,16 @@ + + + + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool.xml index bfe8af7..95b9eaa 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool.xml +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-metadata-tool.xml @@ -2,15 +2,33 @@ - - Awesome Vendor - Awesome Tool - 9.1.2 - - 25ed8e31b995bb927966616df2a42b979a2717f0 - a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df - - + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + + + Acme Org + https://example.com + + com.example + Acme Signing Server + Signs artifacts + + https://example.com/sign + https://example.com/verify + https://example.com/tsa + + + diff --git a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-vulnerability.xml b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-vulnerability.xml index d98f506..0bf3c56 100644 --- a/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-vulnerability.xml +++ b/testdata/snapshots/cyclonedx-go-TestRoundTripXML-func1-valid-vulnerability.xml @@ -50,6 +50,14 @@ FasterXML jackson-databind before 2.7.9.3, 2.8.x before 2.8.11.1 and 2.9.x before 2.9.5 allows unauthenticated remote code execution because of an incomplete fix for the CVE-2017-7525 deserialization flaw. This is exploitable by sending maliciously crafted JSON input to the readValue method of the ObjectMapper, bypassing a blacklist that is ineffective if the c3p0 libraries are available in the classpath. Upgrade com.fasterxml.jackson.core:jackson-databind to version 2.6.7.5, 2.8.11.1, 2.9.5 or higher. + Describe the workarounds here + + Precise steps to reproduce go here + Describe the environment + + 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+ + GitHub Commit @@ -63,6 +71,7 @@ 2021-01-01T00:00:00.000Z 2021-01-01T00:00:00.000Z 2021-01-01T00:00:00.000Z + 2022-01-01T00:00:00.000Z @@ -78,14 +87,27 @@ - - Snyk - Snyk CLI (Linux) - 1.729.0 - - 2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d - - + + + Snyk + Snyk CLI (Linux) + 1.729.0 + + 2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d + + + + + + + Acme Inf + + Acme BOM Analyzer + + https://example.com/analyze + + + not_affected @@ -95,10 +117,12 @@ update An optional explanation of why the application is not affected by the vulnerable component. + 2022-01-01T00:00:00.000Z + 2022-02-01T00:00:00.000Z - pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.9 + pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.4 vers:semver/<2.6.7.5 diff --git a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.2.bom.xml b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.2.bom.xml index c4ed3fe..b0843c7 100644 --- a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.2.bom.xml +++ b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.2.bom.xml @@ -4,7 +4,6 @@ 2020-04-07T07:01:00Z - Awesome Vendor Awesome Tool 9.1.2 @@ -12,6 +11,10 @@ a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + Acme Org + Acme Signing Server + diff --git a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.3.bom.xml b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.3.bom.xml index ced8330..c3e8487 100644 --- a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.3.bom.xml +++ b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.3.bom.xml @@ -4,7 +4,6 @@ 2020-04-07T07:01:00Z - Awesome Vendor Awesome Tool 9.1.2 @@ -12,6 +11,10 @@ a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + Acme Org + Acme Signing Server + diff --git a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.4.bom.xml b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.4.bom.xml index 13aa3ff..9701694 100644 --- a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.4.bom.xml +++ b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.4.bom.xml @@ -4,7 +4,6 @@ 2020-04-07T07:01:00Z - Awesome Vendor Awesome Tool 9.1.2 @@ -12,6 +11,10 @@ a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + Acme Org + Acme Signing Server + diff --git a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.5.bom.xml b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.5.bom.xml index 49b95bf..aaf15dd 100644 --- a/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.5.bom.xml +++ b/testdata/snapshots/cyclonedx-go-TestXmlBOMEncoder_EncodeVersion-func1-1.5.bom.xml @@ -3,15 +3,33 @@ 2020-04-07T07:01:00Z - - Awesome Vendor - Awesome Tool - 9.1.2 - - 25ed8e31b995bb927966616df2a42b979a2717f0 - a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df - - + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + + + Acme Org + https://example.com + + com.example + Acme Signing Server + Signs artifacts + + https://example.com/sign + https://example.com/verify + https://example.com/tsa + + + diff --git a/testdata/valid-bom.json b/testdata/valid-bom.json index c0f3b17..1ea8669 100644 --- a/testdata/valid-bom.json +++ b/testdata/valid-bom.json @@ -5,23 +5,44 @@ "version": 1, "metadata": { "timestamp": "2020-04-13T20:20:39+00:00", - "tools": [ - { - "vendor": "Awesome Vendor", - "name": "Awesome Tool", - "version": "9.1.2", - "hashes": [ - { - "alg": "SHA-1", - "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + "tools": { + "components": [ + { + "type": "application", + "group": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Org", + "url": [ + "https://example.com" + ] }, - { - "alg": "SHA-256", - "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" - } - ] - } - ], + "group": "com.example", + "name": "Acme Signing Server", + "description": "Signs artifacts", + "endpoints": [ + "https://example.com/sign", + "https://example.com/verify", + "https://example.com/tsa" + ] + } + ] + }, "authors": [ { "name": "Samantha Wright", @@ -103,7 +124,7 @@ "text": { "contentType": "text/plain", "encoding": "base64", - "content": "License text here" + "content": "
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   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
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   Licensed under the Apache License, Version 2.0 (the "License");
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   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License." }, "url": "https://www.apache.org/licenses/LICENSE-2.0.txt" } @@ -129,12 +150,12 @@ ], "commits": [ { - "uid": "123", - "url": "", + "uid": "7638417db6d59f3c431d3e1f261cc637155684cd", + "url": "https://location/to/7638417db6d59f3c431d3e1f261cc637155684cd", "author": { "timestamp": "2018-11-13T20:20:39+00:00", - "name": "", - "email": "" + "name": "me", + "email": "me@acme.org" } } ] @@ -174,4 +195,4 @@ ] } ] -} +} \ No newline at end of file diff --git a/testdata/valid-bom.xml b/testdata/valid-bom.xml index 913285e..244f947 100644 --- a/testdata/valid-bom.xml +++ b/testdata/valid-bom.xml @@ -3,15 +3,33 @@ 2020-04-07T07:01:00Z - - Awesome Vendor - Awesome Tool - 9.1.2 - - 25ed8e31b995bb927966616df2a42b979a2717f0 - a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df - - + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + + + Acme Org + https://example.com + + com.example + Acme Signing Server + Signs artifacts + + https://example.com/sign + https://example.com/verify + https://example.com/tsa + + + diff --git a/testdata/valid-compositions.json b/testdata/valid-compositions.json index 551834e..11c8a00 100644 --- a/testdata/valid-compositions.json +++ b/testdata/valid-compositions.json @@ -44,8 +44,18 @@ ] } ], + "vulnerabilities": [ + { + "bom-ref": "vulnerability-1", + "id": "ACME-12345", + "source": { + "name": "Acme Inc" + } + } + ], "compositions": [ { + "bom-ref": "composition-1", "aggregate": "complete", "assemblies": [ "pkg:maven/partner/shaded-library@1.0" @@ -59,6 +69,12 @@ "assemblies": [ "pkg:maven/acme/library@3.0" ] + }, + { + "aggregate": "incomplete_first_party_only", + "vulnerabilities": [ + "vulnerability-1" + ] } ] } diff --git a/testdata/valid-compositions.xml b/testdata/valid-compositions.xml index 82c16c5..06800df 100644 --- a/testdata/valid-compositions.xml +++ b/testdata/valid-compositions.xml @@ -31,8 +31,16 @@ + + + ACME-12345 + + Acme Inc + + + - + complete @@ -47,5 +55,11 @@ + + incomplete_first_party_only + + + + diff --git a/testdata/valid-evidence.json b/testdata/valid-evidence.json index 8c44a9a..9274023 100644 --- a/testdata/valid-evidence.json +++ b/testdata/valid-evidence.json @@ -19,6 +19,63 @@ ], "purl": "pkg:maven/com.google.code.findbugs/findbugs-project@3.0.0", "evidence": { + "identity": { + "field": "purl", + "confidence": 1, + "methods": [ + { + "technique": "filename", + "confidence": 0.1, + "value": "findbugs-project-3.0.0.jar" + }, + { + "technique": "ast-fingerprint", + "confidence": 0.9, + "value": "61e4bc08251761c3a73b606b9110a65899cb7d44f3b14c81ebc1e67c98e1d9ab" + }, + { + "technique": "hash-comparison", + "confidence": 0.7, + "value": "7c547a9d67cc7bc315c93b6e2ff8e4b6b41ae5be454ac249655ecb5ca2a85abf" + } + ], + "tools": [ + "bom-ref-of-tool-that-performed-analysis" + ] + }, + "occurrences": [ + { + "bom-ref": "d6bf237e-4e11-4713-9f62-56d18d5e2079", + "location": "/path/to/component" + }, + { + "bom-ref": "b574d5d1-e3cf-4dcd-9ba5-f3507eb1b175", + "location": "/another/path/to/component" + } + ], + "callstack": { + "frames": [ + { + + "package": "com.apache.logging.log4j.core", + "module": "Logger.class", + "function": "logMessage", + "parameters": [ + "com.acme.HelloWorld", "Level.INFO", "null", "Hello World" + ], + "line": 150, + "column": 17, + "fullFilename": "/path/to/log4j-core-2.14.0.jar!/org/apache/logging/log4j/core/Logger.class" + }, + { + "module": "HelloWorld.class", + "function": "main", + "line": 20, + "column": 12, + "fullFilename": "/path/to/HelloWorld.class" + } + ] + }, "licenses": [ { "license": { diff --git a/testdata/valid-evidence.xml b/testdata/valid-evidence.xml index e51286b..9dd5127 100644 --- a/testdata/valid-evidence.xml +++ b/testdata/valid-evidence.xml @@ -13,6 +13,63 @@ pkg:maven/com.google.code.findbugs/findbugs-project@3.0.0 + + purl + 1 + + + filename + 0.1 + findbugs-project-3.0.0.jar + + + ast-fingerprint + 0.9 + 61e4bc08251761c3a73b606b9110a65899cb7d44f3b14c81ebc1e67c98e1d9ab + + + hash-comparison + 0.7 + 7c547a9d67cc7bc315c93b6e2ff8e4b6b41ae5be454ac249655ecb5ca2a85abf + + + + + + + + + /path/to/component + + + /another/path/to/component + + + + + + com.apache.logging.log4j.core + Logger.class + logMessage + + com.acme.HelloWorld + Level.INFO + null + Hello World + + 150 + 17 + /path/to/log4j-core-2.14.0.jar!/org/apache/logging/log4j/core/Logger.class + + + HelloWorld.class + main + 20 + 12 + /path/to/HelloWorld.class + + + Apache-2.0 diff --git a/testdata/valid-formulation.json b/testdata/valid-formulation.json new file mode 100644 index 0000000..9f9490a --- /dev/null +++ b/testdata/valid-formulation.json @@ -0,0 +1,294 @@ +{ + "bomFormat": "CycloneDX", + "specVersion": "1.5", + "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", + "version": 1, + "components": [ + { + "type": "library", + "publisher": "Acme Inc", + "group": "org.example", + "name": "mylibrary", + "version": "1.0.0" + } + ], + "formulation": [ + { + "bom-ref": "formula-1", + "components": [ + { + "bom-ref": "component-1", + "type": "platform", + "name": "Pipeline controller image", + "version": "v0.47.0" + } + ], + "workflows": [ + { + "bom-ref": "workflow-1", + "uid": "8edb2b08-e2c7-11ed-b5ea-0242ac120002", + "name": "My workflow", + "description": "Workflow description here", + "resourceReferences": [ + { + "ref": "component-a" + } + ], + "tasks": [ + { + "bom-ref": "task-1", + "uid": "task-uid-1", + "name": "fetch-repository", + "description": "Description here", + "resourceReferences": [ + { + "ref": "component-a" + } + ], + "taskTypes": [ "clone", "build" ], + "trigger": { + "bom-ref": "trigger-1", + "uid": "trigger-1", + "type": "api" + }, + "steps": [ + { + "name": "My step" + } + ], + "inputs": [ + { + "resource": { + "ref": "component-a" + } + } + ], + "outputs": [ + { + "resource": { + "ref": "component-b" + } + } + ], + "timeStart": "2023-01-01T00:00:00+00:00", + "timeEnd": "2023-01-01T00:00:00+00:00", + "workspaces": [ + { + "bom-ref": "workspace-1", + "uid": "workspace-uid-1", + "name": "workspace" + } + ], + "runtimeTopology": [ + { + "ref": "task-1", + "dependsOn": [ "task-2" ] + } + ] + } + ], + "taskDependencies": [ + { + "ref": "task-1", + "dependsOn": ["task-2"] + } + ], + "taskTypes": [ "clone", "build" ], + "trigger": { + "bom-ref": "trigger-2", + "uid": "trigger-uid-2", + "name": "My trigger", + "description": "Description here", + "resourceReferences": [ + { + "ref": "component-a" + } + ], + "type": "api", + "event": { + "uid": "event-1", + "description": "Description here", + "timeReceived": "2023-01-01T00:00:00+00:00", + "data": { + "contentType": "text/plain", + "content": "Foo/Bar" + }, + "source": { + "ref": "component-g" + }, + "target": { + "ref": "component-h" + }, + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + "conditions": [ + { + "description": "Description here", + "expression": "1 == 1", + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ], + "timeActivated": "2023-01-01T00:00:00+00:00", + "inputs": [ + { + "resource": { + "ref": "component-10" + }, + "source": { + "ref": "component-11" + }, + "target": { + "ref": "component-12" + } + } + ], + "outputs": [ + { + "resource": { + "ref": "component-14" + }, + "type": "artifact", + "source": { + "ref": "component-15" + }, + "target": { + "ref": "component-16" + } + } + ], + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + "steps": [ + { + "name": "My step", + "description": "Description here", + "commands": [ + { + "executed": "ls -las", + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ], + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ], + "inputs": [ + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + { + "environmentVars": [ + "FooBar" + ] + }, + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + }, + "FooBar" + ] + } + ], + "outputs": [ + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + } + ] + }, + { + "environmentVars": [ + "FooBar" + ] + }, + { + "environmentVars": [ + { + "name": "Foo", + "value": "Bar" + }, + "FooBar" + ] + } + ], + "timeStart": "2023-01-01T00:00:00+00:00", + "timeEnd": "2023-01-01T00:00:00+10:00", + "workspaces": [ + { + "bom-ref": "workspace-1", + "uid": "workspace-1", + "name": "My workspace", + "aliases": [ "default-workspace" ], + "description": "Description here", + "resourceReferences": [ + { + "ref": "component-t" + } + ], + "accessMode": "read-write", + "mountPath": "/tmp/workspace", + "managedDataType": "ConfigMap", + "volumeRequest": "requestedVolumeClaim", + "volume": { + "uid": "volume-1", + "name": "My volume", + "mode": "filesystem", + "path": "/", + "sizeAllocated": "10GB", + "persistent": true, + "remote": false + } + } + ], + "runtimeTopology": [ + { + "ref": "component-s", + "dependsOn": [ + "component-r" + ] + } + ], + "properties": [ + { + "name": "Foo", + "value": "Bar" + } + ] + } + ] + } + ] +} diff --git a/testdata/valid-formulation.xml b/testdata/valid-formulation.xml new file mode 100644 index 0000000..8492e4b --- /dev/null +++ b/testdata/valid-formulation.xml @@ -0,0 +1,251 @@ + + + + + Acme Inc + org.example + mylibrary + 1.0.0 + + + + + + + Pipeline controller image + v0.47.0 + + + + + 8edb2b08-e2c7-11ed-b5ea-0242ac120002 + My workflow + Workflow description here + + + component-a + + + + + task-uid-1 + fetch-repository + Description here + + + component-a + + + + clone + build + + + trigger-1 + api + + + + My step + + + + + + component-a + + + + + + + component-b + + + + 2023-01-01T00:00:00+00:00 + 2023-01-01T00:00:00+00:00 + + + workspace-uid-1 + workspace + + + + + + + + + + + + + + + + clean + build + + + trigger-uid-1 + My trigger + Description here + + + component-a + + + api + + event-1 + Description here + 2023-01-01T00:00:00+00:00 + FooBar + + component-g + + + component-h + + + Bar + + + + + Description here + 1 == 1 + + Bar + + + + 2023-01-01T00:00:00+00:00 + + + + component-10 + + + component-11 + + + component-12 + + + + + + + component-14 + + artifact + + component-15 + + + component-16 + + + + + Bar + + + + + My step + Description here + + + ls -las + + Bar + + + + + Bar + + + + + + + Bar + + + + + FooBar + + + + + Bar + FooBar + + + + + + + Bar + + + + + FooBar + + + + + Bar + FooBar + + + + 2023-01-01T00:00:00+00:00 + 2023-01-01T00:00:00+00:00 + + + workspace-1 + My workspace + + default-workspace + + Description here + + + component-t + + + read-write + /tmp/workspace + ConfigMap + requestedVolumeClaim + + volume-1 + My volume + filesystem + / + 10GB + true + false + + + + + + + + + + Bar + + + + + + diff --git a/testdata/valid-license-licensing.xml b/testdata/valid-license-licensing.xml index 75d070e..a528a17 100644 --- a/testdata/valid-license-licensing.xml +++ b/testdata/valid-license-licensing.xml @@ -1,4 +1,4 @@ -?xml version="1.0"?> + diff --git a/testdata/valid-machine-learning.json b/testdata/valid-machine-learning.json new file mode 100644 index 0000000..59dc3ce --- /dev/null +++ b/testdata/valid-machine-learning.json @@ -0,0 +1,92 @@ +{ + "bomFormat": "CycloneDX", + "specVersion": "1.5", + "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", + "version": 1, + "components": [ + { + "bom-ref": "component-a", + "type": "machine-learning-model", + "group": "CompVis", + "name": "stable-diffusion", + "version": "1.4", + "description": "Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at \uD83E\uDD17's Stable Diffusion with \uD83E\uDDE8Diffusers blog.", + "modelCard": { + "modelParameters": { + "approach": { + "type": "supervised" + }, + "task": "task goes here", + "architectureFamily": "the architecture family goes here", + "modelArchitecture": "The architecture of the model.", + "datasets": [ + { + "type": "dataset", + "name": "Training Data", + "contents": { + "url": "https://example.com/path/to/dataset" + }, + "classification": "public" + } + ], + "inputs": [ { "format": "string" } ], + "outputs": [ { "format": "byte[]" } ] + }, + "quantitativeAnalysis": { + "performanceMetrics": [ + { + "type": "The type of performance metric", + "value": "The value of the performance metric", + "slice": "The name of the slice this metric was computed on. By default, assume this metric is not sliced", + "confidenceInterval": { + "lowerBound": "The lower bound of the confidence interval", + "upperBound": "The upper bound of the confidence interval" + } + } + ], + "graphics": { + "description": "Performance images", + "collection": [ + { + "name": "FID vs CLIP Scores on 512x512 samples for different v1-versions", + "image": { + "contentType": "image/jpeg", + "encoding": "base64", + "content": 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+ } + } + ] + } + }, + "considerations": { + "users": [ + "Who are the intended users of the model?" + ], + "useCases": [ + "Who are the intended users of the model?" + ], + "technicalLimitations": [ + "What are the known technical limitations of the model? E.g. What kind(s) of data should the model be expected not to perform well on? What are the factors that might degrade model performance?" + ], + "performanceTradeoffs": [ + "What are the known tradeoffs in accuracy/performance of the model?" + ], + "ethicalConsiderations": [ + { + "name": "The name of the risk", + "mitigationStrategy": "Strategy used to address this risk" + } + ], + "fairnessAssessments": [ + { + "groupAtRisk": "The groups or individuals at risk of being systematically disadvantaged by the model", + "benefits": "Expected benefits to the identified groups", + "harms": "Expected harms to the identified groups", + "mitigationStrategy": "With respect to the benefits and harms outlined, please describe any mitigation strategy implemented." + } + ] + } + } + } + ] +} \ No newline at end of file diff --git a/testdata/valid-machine-learning.xml b/testdata/valid-machine-learning.xml new file mode 100644 index 0000000..7c541ec --- /dev/null +++ b/testdata/valid-machine-learning.xml @@ -0,0 +1,92 @@ + + + + + Acme Inc + CompVis + stable-diffusion + 1.4 + Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion with 🧨Diffusers blog. + + + + supervised + + task goes here + the architecture family goes here + The architecture of the model. + + + dataset + Training Data + + https://example.com/path/to/dataset + + public + + + + + string + + + + + string + + + + + + + The type of performance metric + The value of the performance metric + The name of the slice this metric was computed on. By default, assume this metric is not sliced + + The lower bound of the confidence interval + The upper bound of the confidence interval + + + + + Performance images + + + FID vs CLIP Scores on 512x512 samples for different v1-versions + 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+ + + + + + + Who are the intended users of the model? + + + Who are the intended users of the model? + + + What are the known technical limitations of the model? + + + What are the known tradeoffs in accuracy/performance of the model? + + + + The name of the risk + Strategy used to address this risk + + + + + The groups or individuals at risk of being systematically disadvantaged by the model + Expected benefits to the identified groups + Expected harms to the identified groups + With respect to the benefits and harms outlined, please describe any mitigation strategy implemented. + + + + + + + diff --git a/testdata/valid-metadata-tool-deprecated.json b/testdata/valid-metadata-tool-deprecated.json new file mode 100644 index 0000000..7e578d7 --- /dev/null +++ b/testdata/valid-metadata-tool-deprecated.json @@ -0,0 +1,26 @@ +{ + "bomFormat": "CycloneDX", + "specVersion": "1.5", + "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", + "version": 1, + "metadata": { + "tools": [ + { + "vendor": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ] + }, + "components": [] +} \ No newline at end of file diff --git a/testdata/valid-metadata-tool-deprecated.xml b/testdata/valid-metadata-tool-deprecated.xml new file mode 100644 index 0000000..87a399f --- /dev/null +++ b/testdata/valid-metadata-tool-deprecated.xml @@ -0,0 +1,17 @@ + + + + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + + \ No newline at end of file diff --git a/testdata/valid-metadata-tool.json b/testdata/valid-metadata-tool.json index 81e908a..aa55d67 100644 --- a/testdata/valid-metadata-tool.json +++ b/testdata/valid-metadata-tool.json @@ -4,23 +4,44 @@ "serialNumber": "urn:uuid:3e671687-395b-41f5-a30f-a58921a69b79", "version": 1, "metadata": { - "tools": [ - { - "vendor": "Awesome Vendor", - "name": "Awesome Tool", - "version": "9.1.2", - "hashes": [ - { - "alg": "SHA-1", - "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + "tools": { + "components": [ + { + "type": "application", + "group": "Awesome Vendor", + "name": "Awesome Tool", + "version": "9.1.2", + "hashes": [ + { + "alg": "SHA-1", + "content": "25ed8e31b995bb927966616df2a42b979a2717f0" + }, + { + "alg": "SHA-256", + "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Org", + "url": [ + "https://example.com" + ] }, - { - "alg": "SHA-256", - "content": "a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df" - } - ] - } - ] + "group": "com.example", + "name": "Acme Signing Server", + "description": "Signs artifacts", + "endpoints": [ + "https://example.com/sign", + "https://example.com/verify", + "https://example.com/tsa" + ] + } + ] + } }, "components": [] -} +} \ No newline at end of file diff --git a/testdata/valid-metadata-tool.xml b/testdata/valid-metadata-tool.xml index caf273f..2d3129a 100644 --- a/testdata/valid-metadata-tool.xml +++ b/testdata/valid-metadata-tool.xml @@ -2,16 +2,34 @@ - - Awesome Vendor - Awesome Tool - 9.1.2 - - 25ed8e31b995bb927966616df2a42b979a2717f0 - a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df - - + + + Awesome Vendor + Awesome Tool + 9.1.2 + + 25ed8e31b995bb927966616df2a42b979a2717f0 + a74f733635a19aefb1f73e5947cef59cd7440c6952ef0f03d09d974274cbd6df + + + + + + + Acme Org + https://example.com + + com.example + Acme Signing Server + Signs artifacts + + https://example.com/sign + https://example.com/verify + https://example.com/tsa + + + - + \ No newline at end of file diff --git a/testdata/valid-vulnerability.json b/testdata/valid-vulnerability.json index 547e4d0..a529a53 100644 --- a/testdata/valid-vulnerability.json +++ b/testdata/valid-vulnerability.json @@ -39,7 +39,7 @@ "score": 9.8, "severity": "critical", "method": "CVSSv3", - "vector": "AN/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", + "vector": "AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "justification": "An optional reason for rating the vulnerability as it was" } ], @@ -50,6 +50,18 @@ "description": "FasterXML jackson-databind before 2.7.9.3, 2.8.x before 2.8.11.1 and 2.9.x before 2.9.5 allows unauthenticated remote code execution because of an incomplete fix for the CVE-2017-7525 deserialization flaw. This is exploitable by sending maliciously crafted JSON input to the readValue method of the ObjectMapper, bypassing a blacklist that is ineffective if the c3p0 libraries are available in the classpath.", "detail": "", "recommendation": "Upgrade com.fasterxml.jackson.core:jackson-databind to version 2.6.7.5, 2.8.11.1, 2.9.5 or higher.", + "workaround": "Describe the workarounds here", + "proofOfConcept": { + "reproductionSteps": "Precise steps to reproduce go here", + "environment": "Describe the environment", + "supportingMaterial": [ + { + "contentType": "image/jpeg", + "encoding": "base64", + "content": 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+ } + ] + }, "advisories": [ { "title": "GitHub Commit", @@ -63,6 +75,7 @@ "created": "2021-01-01T00:00:00.000Z", "published": "2021-01-01T00:00:00.000Z", "updated": "2021-01-01T00:00:00.000Z", + "rejected": "2022-01-01T00:00:00.000Z", "credits": { "organizations": [ { @@ -79,28 +92,44 @@ } ] }, - "tools": [ - { - "vendor": "Snyk", - "name": "Snyk CLI (Linux)", - "version": "1.729.0", - "hashes": [ - { - "alg": "SHA-256", - "content": "2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d" - } - ] - } - ], + "tools": { + "components": [ + { + "type": "application", + "group": "Snyk", + "name": "Snyk CLI (Linux)", + "version": "1.729.0", + "hashes": [ + { + "alg": "SHA-256", + "content": "2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d" + } + ] + } + ], + "services": [ + { + "provider": { + "name": "Acme Inc" + }, + "name": "Acme BOM Analyzer", + "endpoints": [ + "https://example.com/analyze" + ] + } + ] + }, "analysis": { "state": "not_affected", "justification": "code_not_reachable", "response": ["will_not_fix", "update"], - "detail": "An optional explanation of why the application is not affected by the vulnerable component." + "detail": "An optional explanation of why the application is not affected by the vulnerable component.", + "firstIssued": "2022-01-01T00:00:00.000Z", + "lastUpdated": "2022-02-01T00:00:00.000Z" }, "affects": [ { - "ref": "pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.9", + "ref": "pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.4", "versions": [ { "range": "vers:semver/<2.6.7.5", diff --git a/testdata/valid-vulnerability.xml b/testdata/valid-vulnerability.xml index 11ce93b..d356d6b 100644 --- a/testdata/valid-vulnerability.xml +++ b/testdata/valid-vulnerability.xml @@ -51,6 +51,14 @@ FasterXML jackson-databind before 2.7.9.3, 2.8.x before 2.8.11.1 and 2.9.x before 2.9.5 allows unauthenticated remote code execution because of an incomplete fix for the CVE-2017-7525 deserialization flaw. This is exploitable by sending maliciously crafted JSON input to the readValue method of the ObjectMapper, bypassing a blacklist that is ineffective if the c3p0 libraries are available in the classpath. Upgrade com.fasterxml.jackson.core:jackson-databind to version 2.6.7.5, 2.8.11.1, 2.9.5 or higher. + Describe the workarounds here + + Precise steps to reproduce go here + Describe the environment + + 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+ + GitHub Commit @@ -64,6 +72,7 @@ 2021-01-01T00:00:00.000Z 2021-01-01T00:00:00.000Z 2021-01-01T00:00:00.000Z + 2022-01-01T00:00:00.000Z @@ -79,14 +88,27 @@ - - Snyk - Snyk CLI (Linux) - 1.729.0 - - 2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d - - + + + Snyk + Snyk CLI (Linux) + 1.729.0 + + 2eaf8c62831a1658c95d41fdc683cd177c147733c64a93e59cb2362829e45b7d + + + + + + + Acme Inf + + Acme BOM Analyzer + + https://example.com/analyze + + + not_affected @@ -96,10 +118,12 @@ update An optional explanation of why the application is not affected by the vulnerable component. + 2022-01-01T00:00:00.000Z + 2022-02-01T00:00:00.000Z - pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.9 + pkg:maven/com.fasterxml.jackson.core/jackson-databind@2.9.4 vers:semver/<2.6.7.5 @@ -124,4 +148,4 @@ - + \ No newline at end of file