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user importing findings

MD MUFTHAKHERUL ISLAM MIRAZ edited this page Jun 24, 2026 · 2 revisions

Note

👋 Hey there! Siyarix is a personal passion project built by a single developer that is growing and under active development. The feature described on this page is currently Planned / Under Development and may not be fully functional in the codebase yet. Stay tuned for updates! 🚀

📥 Finding Import Pipeline

Security teams use a lot of different tools. Siyarix wants to be your central hub! The Finding Import Pipeline will allow you to ingest scan results from external security tools, translating them into a single, unified format for easy analysis and reporting.

Warning

Coming Soon: This feature is actively being built! An initial SecurityImporter stub exists in the codebase, and we are working hard on the parsing, format detection, and conversion logic.


🚧 Current Status

Right now, the SecurityImporter is acting as a placeholder. It accepts file paths but does not yet process the data.

from siyarix.chat.stubs import SecurityImporter

importer = SecurityImporter()

# This is a stub! It currently returns a result with 0 imported items.
result = importer.auto_import("scan.nessus")

🔮 Planned Capabilities

We want to support all your favorite tools! Here is what is on the roadmap for the import pipeline:

Format File Extension Source Tool
Nessus .nessus Tenable Nessus (XML)
Burp Suite .xml Burp Suite Project Exports
Metasploit .json Metasploit Database Exports
STIX 2.x .json Standard Threat Intelligence Feeds
OpenIOC .ioc Mandiant OpenIOC
Nikto .json / .xml Nikto Web Scanners
Nuclei .json ProjectDiscovery Nuclei
Trivy .json Aqua Security Trivy

⚙️ How the Pipeline Will Work

When complete, the pipeline will do the heavy lifting for you:

  1. Auto-Detection: Siyarix will automatically figure out what tool generated the file by analyzing its extension and content.
  2. Unified Format Translation: All findings will be converted into Siyarix's standard format, normalizing Severity, CVE, CWE, and CVSS scores.
  3. Smart Deduplication: If multiple tools find the same vulnerability, Siyarix will merge them so your reports aren't cluttered.
  4. Cross-Source Correlation: Siyarix will enrich findings by combining data from multiple tools to give you the full picture.

🎯 Key Use Cases

Why use the import pipeline?

  • Migration: Easily move your historical security data from legacy tools straight into Siyarix.
  • Consolidation: Stop jumping between 5 different dashboards. View all your vulnerabilities in one place!
  • Correlation: Cross-reference vulnerabilities found by an external scanner with data gathered natively by Siyarix.
  • Beautiful Reporting: Generate unified, professional reports that combine findings from every tool in your arsenal.

📣 Stay Tuned!

We know how important interoperability is. The import pipeline is under active development. Keep an eye on the project repository for updates on when new formats will be supported!

Note

👋 Welcome to Siyarix! This is a personal passion project built by a single developer. It's currently under active development and growing fast. Expect rough edges, but lots of love! ❤️

🗺️ Siyarix Documentation Map

Welcome to the Siyarix Documentation Map! This page serves as your master compass for navigating the extensive documentation we have built for the platform.

Whether you are a brand new user, a seasoned security operator, or a developer looking to contribute to the core engine, you can find exactly what you need here.


🧭 Quick Navigation

Not sure where to start? Pick the path that best describes you:

🌱 For New Users

Just getting started? We highly recommend following these guides in order:

  1. Installation Guide — Get Siyarix running on your machine.
  2. Onboarding Wizard — Let our interactive wizard help you set up your API keys and environment.
  3. Setup & Configuration — A deeper dive into customizing your setup.
  4. Your First Run — A gentle walkthrough of your very first Siyarix command.

🛡️ For Security Operators

Ready to put Siyarix to work? Dive into our operational guides:

💻 For Developers & Contributors

Looking under the hood or wanting to write some code? Start here:


📂 The Complete Documentation Tree

If you prefer to browse the raw structure, here is a complete layout of the docs/ folder:

docs/
├── 🚀 getting-started/       # Installation, onboarding, and configuration
│   ├── installation.md       # Multi-platform install (pip, brew, winget, docker)
│   ├── onboarding.md         # The interactive 11-step setup wizard
│   ├── setup.md              # Managing API keys, credentials, and settings
│   ├── first-run.md          # A walkthrough of your first session
│   ├── configuration.md      # A deep-dive into advanced settings
│   └── troubleshooting.md    # Common issues and how to fix them instantly
│
├── 📖 user/                  # Daily operations and workflows
│   ├── cli-commands.md       # Reference for 50+ CLI commands across 12 groups
│   ├── interactive-chat.md   # Mastering the AI REPL and 54+ slash commands
│   ├── security-workflows.md # Recon, vulnerability assessment, incident response
│   ├── cloud-scanning.md     # Multi-cloud security scanning (under development)
│   ├── compliance.md         # Framework mapping (SOC 2, NIST, GDPR, PCI-DSS)
│   ├── threat-intelligence.md# Integrations with OTX, NVD, and MITRE ATT&CK
│   ├── playbooks.md          # Building automated YAML-based IR playbooks
│   ├── workflow-files.md     # DAG workflow reference (programmatic API)
│   ├── reporting.md          # Multi-format report generation
│   ├── offline-registry.md   # Running without AI (Offline/Registry execution mode)
│   └── ai-workflows.md       # Advanced AI-driven autonomous operations
│
├── 💻 developer/             # Building, testing, and extending Siyarix
│   ├── codebase-overview.md  # Full module structure mapping
│   ├── contribution-guide.md # How to submit PRs and our coding standards
│   ├── module-architecture.md# Component design and responsibilities
│   ├── testing.md            # Writing tests (pytest), coverage, and CI/CD
│   └── building.md           # Packaging, distribution, and Docker builds
│
├── 🏗️ architecture/          # System design and core internals
│   ├── overview.md           # High-level data flow and layered orchestration
│   ├── ai-agent-pipeline.md  # The AgentCore reasoning and execution pipeline
│   ├── provider-abstraction.md# How we unify 26 different AI providers
│   ├── execution-engine.md   # Plan-based step orchestration
│   ├── memory-and-state.md   # Knowledge graph, session persistence, and learning
│   ├── security-model.md     # The Permission Gate, DLP, audit logging, and OPSEC
│   └── intent-routing.md     # Semantic intent classification and routing
│
├── 🧠 ai/                    # Deep dive into the AI provider & agent systems
│   ├── routing.md            # Managing 26 providers, failovers, and circuit breakers
│   ├── persona-system.md     # Overview of our 10 security personas
│   ├── agent-reasoning.md    # The Observe-Reason-Act loop and tool call repair
│   ├── tool-execution.md     # The tool registry, capability graph, and parsers
│   ├── ensemble.md           # Parallel LLM voting strategies
│   ├── multi-wave.md         # Iterative goal execution with context carry-over
│   ├── prompt-architecture.md# System prompt design and management
│   └── safety.md             # Our rigorous 8-layer hallucination mitigation system
│
├── 🛡️ security/              # Safety, ethics, and threat models
│   ├── reporting.md          # How to safely report vulnerabilities to us
│   ├── threat-model.md       # System threat model and our mitigations
│   ├── operational-security.md# TOR routing, stealth modes, and OPSEC controls
│   ├── ethical-policy.md     # Mandatory rules of engagement for all users
│   └── abuse-prevention.md   # How we prevent misuse of the AI engine
│
└── ⚖️ legal/                 # Licensing and governance
    ├── agpl-guide.md         # A plain-English overview of the AGPL-3.0-or-later license
    ├── why-agpl.md           # The philosophy behind our license choice
    ├── trademark-policy.md   # Branding and trademark guidelines
    ├── responsible-ai.md     # Our framework for ethical AI usage
    ├── disclaimer.md         # Important legal disclaimers
    └── plugin-exception.md   # The license exception for building custom plugins

📖 Key Terminology

As you read through the documentation, you might encounter some specific terms. Here is a quick cheat sheet:

Term What It Means
Provider The backend AI engine powering Siyarix (e.g., OpenAI, Anthropic, Ollama).
Tool A traditional security executable installed on your system (e.g., nmap, nuclei).
Plan A step-by-step sequence of tool commands intelligently generated by the AI.
Workflow A hardcoded, predefined execution path (usually defined in YAML/JSON) that doesn't require AI generation.
Persona A specialized behavioral profile given to the AI (e.g., instructing it to act specifically as a "Network Recon Specialist").
Knowledge Graph Siyarix's internal memory where it stores findings (like IP addresses, open ports) to contextually inform future steps.

Need help finding something specific? Feel free to use the search bar at the top of the documentation site, or open a discussion on our GitHub!

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