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BugBountyOS

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A Debian-based operating environment for authorized bug bounty and security research.

Bug bounty work should be scoped, auditable, evidence-first, and report-ready by default.

BugBountyOS treats the operating system as a workflow plane for the full research lifecycle:

Scope → Asset Graph → Input Map → Hypotheses → Validated Findings → Report Artifacts

This is not a generic pentesting distro. It is a structured operator environment designed to enforce research discipline at the OS level.

Overview

BugBountyOS is designed around a simple idea: tools don’t create outcomes — workflows do.

The OS should help you:

  • prove authorization and scope at every step
  • generate evidence as you work (not later)
  • keep findings traceable and reproducible
  • ship report-ready artifacts with minimal friction

Core Principles

Scope First

BugBountyOS

Scope is not a note you remember — it’s an enforced constraint.

  • Make scope explicit before recon begins
  • Treat “out of scope” as a hard failure mode
  • Record the scope source (program page, contract, email, ticket, etc.)

Evidence by Default

If it’s not captured, it didn’t happen.

  • Prefer tooling and defaults that write to an evidence store automatically
  • Preserve raw outputs (plus normalized summaries)
  • Keep timestamps and provenance

Workflow Over Tool Sprawl

More tools rarely means better results.

  • Standardize the lifecycle and plug tools into it
  • Keep a minimal set of opinionated defaults
  • Prefer composable primitives over one-off “magic” wrappers

Safer Execution

Operators make mistakes. Systems should reduce blast radius.

  • Containment (namespaces, sandboxing, least privilege)
  • Defaults that discourage risky actions
  • Clear separation of “recon” vs “exploit-like” tooling

Report-Ready State

The goal is not “found something interesting.” The goal is “shipped a defensible report.”

  • Findings map to evidence bundles
  • Reproduction steps are standardized
  • Outputs are exportable into common report formats

Workflow Model

The canonical workflow is:

  1. Scope
  2. Asset Graph
  3. Input Map
  4. Hypotheses
  5. Validated Findings
  6. Report Artifacts

Example (operator view)

Scope
  → verify authorization + define targets
Asset Graph
  → enumerate hosts, apps, identities, dependencies
Input Map
  → endpoints, parameters, auth flows, attack surface
Hypotheses
  → “what could be true here?”
Validated Findings
  → reproduce + confirm impact + capture evidence
Report Artifacts
  → write-up + severity + remediation + attachments

Architecture (High-Level)

  1. Scope Manifest: a machine-readable scope definition that travels with a workspace
  2. Workspace Layout: predictable folders for targets, logs, evidence, and reports
  3. Execution Model: commands run through wrappers that preserve outputs and metadata
  4. Evidence Store: raw + normalized artifacts with consistent naming
  5. Report Pipeline: convert evidence + findings into report-ready deliverables

Workspace Layout

workspaces/
  <program-or-client>/
    scope/
      scope.yaml
      notes.md
    assets/
      asset-graph.json
      inventory.csv
    inputs/
      urls.txt
      params.txt
      auth.md
    hypotheses/
      backlog.md
    findings/
      <finding-id>-<short-name>/
        evidence/
        reproduction.md
        impact.md
        remediation.md
    reports/
      report.md
      attachments/
    logs/
      commands.log
      tool-output/

Scope Manifest (Example)

program:
  name: Example Bug Bounty Program
  source: https://example.com/program-scope

authorization:
  type: bug_bounty
  reference: "Program scope page URL or ticket ID"

in_scope:
  domains:
    - example.com
    - api.example.com
  ip_ranges:
    - 203.0.113.0/24

out_of_scope:
  domains:
    - admin.example.com
  notes:
    - "No testing against production employee systems"
    - "No social engineering"

rules:
  rate_limit:
    requests_per_second: 5
  prohibited_actions:
    - "Denial of service"
    - "Physical attacks"

Command Execution (Examples)

Running a command (capturing output)

bbos run -- workspace=acme -- command "nuclei -l inputs/urls.txt -o logs/tool-output/nuclei.txt"

Capturing a workspace tree snapshot

bbos tree -- workspace=acme > logs/workspace-tree.txt

Validating scope before running recon

bbos scope validate -- workspace=acme

Kali Comparison

Category Kali Linux BugBountyOS
Primary goal Broad pentesting / training distro Bug bounty / security research workflow plane
Defaults Tool availability Evidence + auditability + report readiness
Structure User-defined Opinionated workspace + lifecycle
Scope enforcement Manual / process Manifest-driven + workflow gates (planned)
Output handling Depends on operator Capture-first wrappers + standardized artifacts
Reporting External / manual Built-in artifact pipeline (planned)

Roadmap (High-Level)

Phase 1 — Foundations

  • ISO build pipeline
  • Base packages + operator ergonomics
  • Standard workspace structure

Phase 2 — Workflow Enforcement

  • Scope manifest validation and gating
  • Command wrapper that captures output, timestamp, and metadata
  • Evidence bundle generation per finding

Phase 3 — Report Pipeline

  • Findings → report template export
  • Attachment packaging and integrity checks
  • Optional integrations (Notion, GitHub Issues, etc.)

License

This project is licensed under the MIT License. See the LICENSE file for details.

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Modular Security Operating System for Automated Bug Bounty Hunting.

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