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feat: Wire Gitleaks scanner into pipeline and rewrite README
- Wire GitleaksScanner into hybrid_analyzer.py (init param, scanner initialization, status dict) — was configured in config_loader but never instantiated by the orchestrator - Add --enable-gitleaks CLI arg and ENABLE_GITLEAKS env var resolution in hybrid/cli.py - Rewrite README based on patterns from top security repos (Trivy, Nuclei, TruffleHog, Bearer): - Fix false claim of "5 scanners" (was actually 4, now truly 5) - Fix "all features wired into both orchestrators" (only hybrid has full enrichment) - Add separate Scanners section with core vs optional DAST table - Add tree-style Phase 1-6 diagram showing all components - Add Audited Projects section (kimi-cli, chrome-devtools-mcp, juice-shop, DVWA) - Split Performance table into Fast vs Full mode - Add IRIS, Collaborative Reasoning, Nuclei, ZAP to feature tables - Use collapsible sections for Docker-in-Docker and Action examples - Problem/solution framing inspired by Nuclei's approach - Update CLAUDE.md Phase 1 scanner list to include Gitleaks Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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CLAUDE.md

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Argus Security runs a **6-phase security pipeline** combining traditional scanners with Claude AI-powered triage:
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```
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Phase 1: Scanner Orchestration → Semgrep, Trivy, Checkov, TruffleHog (verified + pattern-based secrets)
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Phase 1: Scanner Orchestration → Semgrep, Trivy, Checkov, TruffleHog, Gitleaks (verified + pattern-based secrets)
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Phase 2: AI Enrichment → Claude/OpenAI analysis, noise scoring, CWE mapping
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Phase 3: Multi-Agent Review → 5 specialized AI personas analyze findings
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Phase 4: Sandbox Validation → Docker-based exploit verification

README.md

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# Argus Security
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**Enterprise-grade AI Security Platform** -- Orchestrate security scanners with AI-powered triage and multi-agent analysis.
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**AI-powered security pipeline that orchestrates scanners, triages findings with LLMs, and cuts false positives by 60-70%.**
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[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
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[![AI-Powered](https://img.shields.io/badge/AI-Claude%20%7C%20OpenAI%20%7C%20Ollama-blue.svg)](#ai-providers)
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[![Docker](https://img.shields.io/badge/Docker-Ready-blue.svg)](#docker)
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[![Scanners](https://img.shields.io/badge/Scanners-5%20integrated-green.svg)](#scanners)
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[![Enrichment](https://img.shields.io/badge/Enrichment-20%2B%20modules-purple.svg)](#enrichment-features)
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---
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## What is Argus?
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## The Problem
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Argus runs a **6-phase security pipeline** that combines traditional scanners with Claude AI-powered triage, achieving **60-70% false positive reduction** and **+15-20% more findings** via heuristic-based discovery.
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Traditional security scanners generate hundreds of findings. Most are noise. Teams waste hours triaging, miss real issues buried in false positives, and get zero actionable remediation guidance.
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| Challenge | Argus Solution |
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|-----------|----------------|
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| Too many false positives | 60-70% reduction via AI triage + noise scoring |
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| Scanners miss real issues | +15-20% findings via heuristic pattern matching |
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| Manual triage takes hours | Automated multi-agent analysis with 5 AI personas |
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| No actionable next steps | AI-generated fix suggestions + compliance mapping |
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## How Argus Solves It
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Argus runs **5 scanners in parallel**, then passes findings through **AI-powered triage** with **5 specialized agent personas** that debate severity, filter false positives, and generate fix suggestions.
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| Before Argus | After Argus |
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|--------------|-------------|
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| 500+ raw findings, mostly noise | 60-70% false positive reduction |
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| Scanners miss logic bugs | +15-20% more findings via heuristic + AI discovery |
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| Manual triage takes hours | Automated multi-agent analysis in minutes |
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| No fix guidance | AI-generated remediation + compliance mapping |
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| Point-in-time scans | Persistent findings store with regression detection |
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---
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### Docker
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```bash
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# Full 6-phase pipeline (Dockerfile.complete entrypoint: hybrid_analyzer.py)
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docker build -f Dockerfile.complete -t argus:complete .
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docker run -v $(pwd):/workspace \
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-e ANTHROPIC_API_KEY="your-key" \
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argus:complete /workspace
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```
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# With Docker-in-Docker for Phase 4 sandbox validation
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<details>
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<summary>With Docker-in-Docker (Phase 4 sandbox validation)</summary>
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```bash
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docker run -v $(pwd):/workspace \
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-v /var/run/docker.sock:/var/run/docker.sock \
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--group-add $(stat -c '%g' /var/run/docker.sock) \
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-e ANTHROPIC_API_KEY="your-key" \
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argus:complete /workspace
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```
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</details>
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### Local CLI
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```
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Phase 1: Scanner Orchestration (30-60s)
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Semgrep (SAST, 2000+ rules) | Trivy (CVE/deps) | Checkov (IaC) | TruffleHog (verified secrets) | Gitleaks (pattern secrets)
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├── Semgrep SAST with 2000+ rules
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├── Trivy CVE and dependency scanning
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├── Checkov IaC security (Terraform, K8s, CloudFormation)
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├── TruffleHog Verified secret detection (API-confirmed)
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├── Gitleaks Pattern-based secret detection
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├── Nuclei Source-aware DAST template analysis
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└── ZAP Baseline Passive security checks (opt-in)
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Phase 2: AI Enrichment (2-5 min)
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Claude/OpenAI/Ollama triage | Noise scoring | CWE mapping | Heuristic discovery (regex)
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├── Claude/OpenAI/Ollama triage with noise scoring
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├── CWE mapping and risk scoring
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├── Heuristic discovery (regex pattern matching)
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└── IRIS semantic analysis (arXiv 2405.17238)
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Phase 3: Multi-Agent Review
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5 AI personas: SecretHunter, ArchitectureReviewer, ExploitAssessor, FalsePositiveFilter, ThreatModeler
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Quality agents run in parallel via ThreadPoolExecutor
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├── SecretHunter Secret validation specialist
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├── ArchitectureReviewer Design flaw detection
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├── ExploitAssessor Exploitability analysis
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├── FalsePositiveFilter Noise elimination
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├── ThreatModeler Attack surface mapping
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└── Collaborative reasoning with multi-agent debate
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Phase 4: Sandbox Validation
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Docker-based exploit verification | LLM-generated PoC exploits (opt-in)
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├── Docker-based exploit verification
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└── LLM-generated PoC exploits (opt-in)
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Phase 5: Policy Gates
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Rego/OPA enforcement | PR gates block verified secrets + critical CVEs
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└── Rego/OPA enforcement block verified secrets + critical CVEs
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Phase 6: Reporting
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SARIF (GitHub code scanning) | JSON | Markdown
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├── SARIF (GitHub Code Scanning integration)
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├── JSON (programmatic access)
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└── Markdown (PR comments)
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```
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### Two Orchestrators
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| Orchestrator | Use Case | Scanners |
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|-------------|----------|----------|
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| `run_ai_audit.py` | Fast AI code review (GitHub Action default) | Semgrep + 2-3 LLM calls |
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| `hybrid_analyzer.py` | Full 6-phase pipeline (Docker default) | All 5 scanners + full enrichment |
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| Orchestrator | Use Case | What Runs |
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|-------------|----------|-----------|
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| `run_ai_audit.py` | Fast AI code review (GitHub Action default) | Semgrep + heuristics + 2-3 LLM calls |
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| `hybrid_analyzer.py` | Full 6-phase pipeline (Docker default) | All scanners + full enrichment pipeline |
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---
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## Enrichment Features
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## Scanners
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5 scanners are fully wired and run in parallel during Phase 1:
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| Scanner | Detection Type | Default |
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|---------|---------------|---------|
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| **Semgrep** | SAST — code patterns, injection flaws, auth issues | On |
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| **Trivy** | SCA — CVEs, outdated dependencies, license risks | On |
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| **Checkov** | IaC — Terraform, K8s, CloudFormation misconfigs | On |
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| **TruffleHog** | Secrets — API-verified credential detection | On |
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| **Gitleaks** | Secrets — pattern-based detection (complements TruffleHog) | On |
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Optional DAST scanners (require target URL or binary):
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All features are wired into both orchestrators and toggled via config/env vars.
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| Feature | Config Key | Default | Description |
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|---------|-----------|---------|-------------|
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| EPSS Scoring | `enable_epss_scoring` | `True` | FIRST.org exploit probability (24h cache, batch 100) |
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| Fix Version Tracking | `enable_fix_version_tracking` | `True` | Semver upgrade paths (PATCH/MINOR/MAJOR) |
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| VEX Support | `enable_vex` | `True` | OpenVEX, CycloneDX, CSAF document parsing |
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| Vuln Deduplication | `enable_vuln_deduplication` | `True` | Cross-scanner merge via {VulnID, Pkg, Version, Path} |
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| Advanced Suppression | `enable_advanced_suppression` | `True` | `.argus-ignore.yml` with time-based expiration |
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| Compliance Mapping | `enable_compliance_mapping` | `True` | NIST 800-53, PCI DSS 4.0, OWASP Top 10, SOC 2, ISO 27001 |
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| License Risk Scoring | `enable_license_risk_scoring` | `True` | 5-tier SPDX classification (32 identifiers) |
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| Heuristic Scanner | `enable_heuristics` | `True` | Pre-LLM regex pattern matching for extra findings |
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| Phase Gating | `enable_phase_gating` | `True` | Schema validation between pipeline phases |
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| Smart Retry | `enable_smart_retry` | `True` | Classified retry strategies per error type |
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| Audit Trail | `enable_audit_trail` | `True` | Per-agent cost/duration tracking, session.json |
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| Parallel Agents | `enable_parallel_agents` | `True` | Quality agents run concurrently (~60% faster Phase 3) |
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| Deep Analysis | `deep_analysis_mode` | `off` | AISLE-inspired semantic analysis (off/semantic-only/conservative/full) |
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| Proof-by-Exploitation | `enable_proof_by_exploitation` | `False` | LLM-generated PoCs in Docker sandbox (opt-in) |
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| MCP Server | `enable_mcp_server` | `False` | Expose Argus as MCP tools for Claude Code |
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| Temporal Orchestration | `enable_temporal` | `False` | Durable workflow wrapping for crash recovery |
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### Continuous Security Testing (v3.0)
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| Feature | Config Key | Default | Description |
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|---------|-----------|---------|-------------|
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| Diff-Intelligent Scoping | `enable_diff_scoping` | `True` | Scope scanners to changed files + blast radius expansion |
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| Application Context | `enable_app_context` | `True` | Auto-detect framework, auth, cloud, IaC for context-aware scanning |
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| Persistent Findings Store | `enable_findings_store` | `True` | SQLite cross-scan intelligence with regression detection and trending |
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| Cross-Component Analysis | `enable_cross_component_analysis` | `True` | Detect dangerous vulnerability combinations across architectural boundaries |
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| Agent Chain Discovery | `enable_agent_chain_discovery` | `False` | LLM-powered multi-step attack chain reasoning (opt-in, uses AI credits) |
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| AutoFix PR Generation | `enable_autofix_pr` | `False` | Generate merge-ready fix PRs with closed-loop verification (opt-in) |
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| SAST-to-DAST Validation | `enable_live_validation` | `False` | Validate SAST findings against live staging targets (opt-in) |
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| Scanner | Detection Type | Default |
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|---------|---------------|---------|
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| **Nuclei** | Source-aware DAST template analysis | On |
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| **ZAP Baseline** | Passive security header/config checks | Off |
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| **DAST Orchestrator** | Coordinated Nuclei + ZAP scanning | Off |
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---
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## Enrichment Features
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These modules enrich findings after scanner results are collected. All are wired into `hybrid_analyzer.py` and toggled via config/env vars.
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| Feature | Config Key | Default | What It Does |
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|---------|-----------|---------|--------------|
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| EPSS Scoring | `enable_epss_scoring` | On | FIRST.org exploit probability scores (24h cache, batch 100) |
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| Fix Version Tracking | `enable_fix_version_tracking` | On | Semver upgrade paths — PATCH/MINOR/MAJOR effort classification |
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| VEX Support | `enable_vex` | On | OpenVEX, CycloneDX, CSAF document parsing |
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| Vuln Deduplication | `enable_vuln_deduplication` | On | Cross-scanner merge via {VulnID, Pkg, Version, Path} |
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| Advanced Suppression | `enable_advanced_suppression` | On | `.argus-ignore.yml` with time-based expiration, path globs, CWE match |
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| Compliance Mapping | `enable_compliance_mapping` | On | NIST 800-53, PCI DSS 4.0, OWASP Top 10, SOC 2, ISO 27001 |
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| License Risk Scoring | `enable_license_risk_scoring` | On | 5-tier SPDX classification (32 identifiers) |
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| Heuristic Scanner | `enable_heuristics` | On | Pre-LLM regex pattern matching for findings beyond scanner rules |
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| Phase Gating | `enable_phase_gating` | On | Schema validation between pipeline phases |
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| Smart Retry | `enable_smart_retry` | On | Classified retry strategies per error type |
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| Audit Trail | `enable_audit_trail` | On | Per-agent cost/duration tracking, session.json |
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| Parallel Agents | `enable_parallel_agents` | On | Quality agents run concurrently (~60% faster Phase 3) |
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| IRIS Semantic Analysis | `enable_iris` | On | Research-proven semantic analysis (arXiv 2405.17238) |
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| Collaborative Reasoning | `enable_collaborative_reasoning` | On | Multi-agent debate for contested findings |
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| Deep Analysis | `deep_analysis_mode` | off | AISLE-inspired semantic analysis (off/semantic-only/conservative/full) |
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| Proof-by-Exploitation | `enable_proof_by_exploitation` | Off | LLM-generated PoCs validated in Docker sandbox |
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| MCP Server | `enable_mcp_server` | Off | Expose Argus as MCP tools for Claude Code |
183+
| Temporal Orchestration | `enable_temporal` | Off | Durable workflow wrapping for crash recovery |
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### Continuous Security (v3.0)
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| Feature | Config Key | Default | What It Does |
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|---------|-----------|---------|--------------|
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| Diff-Intelligent Scoping | `enable_diff_scoping` | On | Scope scanners to changed files + blast radius expansion |
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| Application Context | `enable_app_context` | On | Auto-detect framework, auth, cloud, IaC for context-aware scanning |
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| Persistent Findings Store | `enable_findings_store` | On | SQLite cross-scan intelligence with regression detection and MTTF |
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| Cross-Component Analysis | `enable_cross_component_analysis` | On | Detect dangerous vuln combinations across architecture boundaries |
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| Agent Chain Discovery | `enable_agent_chain_discovery` | Off | LLM-powered multi-step attack chain reasoning |
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| AutoFix PR Generation | `enable_autofix_pr` | Off | Generate merge-ready fix PRs with closed-loop verification |
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| SAST-to-DAST Validation | `enable_live_validation` | Off | Validate SAST findings against live staging targets |
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### Deployment-Triggered Scanning
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Argus includes two GitHub Actions workflows for continuous security:
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- **Post-Deploy Scan** (`.github/workflows/post-deploy-scan.yml`) — Triggers on successful deployments. Runs diff-scoped SAST + DAST against the deployment URL.
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- **Retest After Fix** (`.github/workflows/argus-retest.yml`) — Triggers when `argus/fix-*` branches merge. Re-scans to verify fixes hold, updates FindingsStore, posts results as PR comments.
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---
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## Audited Projects
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Argus has been used to scan real-world open-source projects:
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| Project | Findings | Key Issues |
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|---------|----------|------------|
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| [MoonshotAI/kimi-cli](https://github.com/MoonshotAI/kimi-cli) | 35 (5 high) | IDOR on session endpoints, 7 dependency CVEs |
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| [anthropics/chrome-devtools-mcp](https://github.com/anthropics/chrome-devtools-mcp) | 1 (medium) | Missing security headers |
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| [juice-shop/juice-shop](https://github.com/juice-shop/juice-shop) | 1 (high) | Unquoted XSS attribute in template |
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| DVWA | Full pentest | Comprehensive vulnerability assessment |
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- **Post-Deploy Scan** (`.github/workflows/post-deploy-scan.yml`) -- Triggers on successful deployments. Runs diff-scoped SAST + DAST against the deployment URL.
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- **Retest After Fix** (`.github/workflows/argus-retest.yml`) -- Triggers when `argus/fix-*` branches merge. Re-scans to verify fixes hold, updates FindingsStore, posts results as PR comments.
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Reports include SARIF, JSON, Markdown, and responsible disclosure templates.
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export ENABLE_SEMGREP=true
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export ENABLE_TRIVY=true
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export ENABLE_CHECKOV=true
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export ENABLE_TRUFFLEHOG=true
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export ENABLE_GITLEAKS=true
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# Feature toggles (all boolean, set "true" or "false")
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# Feature toggles (all boolean)
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export ENABLE_EPSS_SCORING=true
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export ENABLE_VEX=true
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export ENABLE_VULN_DEDUPLICATION=true
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export ENABLE_ADVANCED_SUPPRESSION=true
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export ENABLE_COMPLIANCE_MAPPING=true
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export ENABLE_LICENSE_RISK_SCORING=true
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# Continuous security testing (v3.0)
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# Continuous security (v3.0)
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export ENABLE_DIFF_SCOPING=true
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export ENABLE_APP_CONTEXT=true
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export ENABLE_FINDINGS_STORE=true
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export ENABLE_CROSS_COMPONENT_ANALYSIS=true
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export ENABLE_AGENT_CHAIN_DISCOVERY=false # opt-in, uses AI credits
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export ENABLE_AUTOFIX_PR=false # opt-in
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export ENABLE_LIVE_VALIDATION=false # opt-in, requires staging target
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export LIVE_VALIDATION_ENVIRONMENT=staging
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export ENABLE_LIVE_VALIDATION=false # opt-in, requires staging target
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# Limits
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export MAX_FILES=50
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| `cost-limit` | `1.0` | Max cost in USD per run |
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| `severity-filter` | -- | Comma-separated severity levels to include |
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### Full Pipeline Example
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<details>
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<summary>Full Pipeline Example</summary>
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```yaml
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- uses: devatsecure/Argus-Security@v1
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deep-analysis-mode: conservative
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fail-on-blockers: 'true'
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```
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</details>
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### Action Outputs
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---
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## CLI Commands
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## CLI
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| Command | Purpose |
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|---------|---------|
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| `python scripts/run_ai_audit.py [path] [type]` | Fast AI code review |
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| `python scripts/hybrid_analyzer.py [path]` | Full 6-phase pipeline |
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| `./scripts/argus gate --stage pr --input findings.json` | Apply policy gate |
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| `./scripts/argus feedback record <id> --mark fp` | Record false positive feedback |
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| `./scripts/argus feedback record <id> --mark fp` | Record false positive |
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## Performance
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| Metric | Value |
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|--------|-------|
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| Scan Time (first run) | 3-5 minutes |
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| Cached Repeat | 30-90 seconds |
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| False Positive Reduction | 60-70% |
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| Additional Findings | +15-20% |
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| Cost per Scan | ~$0.35 (Claude) |
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| Metric | Fast Mode | Full Pipeline |
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|--------|-----------|---------------|
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| Scan Time | 30-90 seconds | 3-5 minutes (first run) |
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| AI Calls | 2-3 LLM calls | Full enrichment + multi-agent |
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| False Positive Reduction | Basic | 60-70% |
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| Additional Findings | Heuristic only | +15-20% (heuristic + AI) |
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| Cost per Scan | ~$0.10 | ~$0.35 (Claude) |
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---
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**Argus Security** -- Enterprise-grade AI Security Platform
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**Argus Security** -- AI-powered security pipeline for real-world vulnerability detection.
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[Quick Start](#quick-start) | [Pipeline](#6-phase-pipeline) | [Configuration](#configuration) | [GitHub Action](#github-action) | [Documentation](#documentation)
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[Quick Start](#quick-start) | [Pipeline](#6-phase-pipeline) | [Scanners](#scanners) | [Configuration](#configuration) | [Audited Projects](#audited-projects)

scripts/hybrid/cli.py

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default=None,
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help="Enable TruffleHog secret scanning",
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)
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parser.add_argument(
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"--enable-gitleaks",
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action=argparse.BooleanOptionalAction,
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default=None,
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help="Enable Gitleaks pattern-based secret scanning",
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)
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parser.add_argument(
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"--enable-api-security",
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action=argparse.BooleanOptionalAction,
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enable_trivy = _resolve_flag(args.enable_trivy, "ENABLE_TRIVY", "enable_trivy")
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enable_checkov = _resolve_flag(args.enable_checkov, "ENABLE_CHECKOV", "enable_checkov")
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enable_trufflehog = _resolve_flag(args.enable_trufflehog, "ENABLE_TRUFFLEHOG", "enable_trufflehog")
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enable_gitleaks = _resolve_flag(args.enable_gitleaks, "ENABLE_GITLEAKS", "enable_gitleaks")
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enable_api_security = _resolve_flag(args.enable_api_security, "ENABLE_API_SECURITY", "enable_api_security")
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enable_dast = _resolve_flag(args.enable_dast, "ENABLE_DAST", "enable_dast")
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enable_supply_chain = _resolve_flag(args.enable_supply_chain, "ENABLE_SUPPLY_CHAIN", "enable_supply_chain")
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analyzer = HybridSecurityAnalyzer(
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enable_semgrep=enable_semgrep,
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enable_trufflehog=enable_trufflehog,
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enable_gitleaks=enable_gitleaks,
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enable_trivy=enable_trivy,
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enable_checkov=enable_checkov,
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enable_api_security=enable_api_security,

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