AI-powered static code analysis that goes beyond pattern matching. SILENTCHAIN SOURCE discovers vulnerabilities, generates proof-of-concept exploits, and maps complete attack chains — automatically.
From file discovery to exploit proof-of-concept. Each phase feeds the next with AI-enriched context.
Automatically crawl local codebases or clone Git repos. Identify security-relevant files, entry points, and data flows across the project.
AI models analyze each target for OWASP Top 10 vulnerabilities with full code context. RAG provides real-world exploit knowledge.
For each confirmed vulnerability, AI generates working proof-of-concept exploit code. Execute safely in a Docker sandbox.
Connect related findings into multi-step attack chains that demonstrate real-world impact. Visualize data flow from source to sink.
Everything you need to find, verify, and report source code vulnerabilities at scale.
Choose your AI backend: Ollama for local/private analysis, OpenAI GPT-4, Claude, Gemini, or Claude Code CLI for autonomous code auditing with tool use.
AI-generated exploit PoCs run in isolated Docker containers. Verify vulnerabilities safely without risking your development environment.
Automatically connect related findings into multi-step attack chains. Visualize data flow from user input to exploitable sink.
Generate professional HTML vulnerability reports with severity ratings, CWE classifications, code snippets, and remediation guidance.
React 19 dashboard with WebSocket live streaming. Watch findings appear in real time as scans progress. Filter, triage, and export from the browser.
Connect SOURCE findings with SILENTCHAIN Enterprise and Sn1per results. Automatic severity escalation when multiple products corroborate a finding. Read: auditing MCP servers with the 4-phase pipeline →
Run fully local with Ollama for zero data exposure, or use cloud models for maximum accuracy.
100% local, private
Zero data exposureGPT-4o, GPT-4
Opus, Sonnet, Haiku
Pro, Ultra
Autonomous audit
Tool useSILENTCHAIN SOURCE queries a vector knowledge base of 80,000+ security documents before every analysis. Your AI doesn't guess — it references real vulnerabilities, real exploits, and real attack patterns.
CLI-first design. Point at a codebase, pick your AI, get findings. Or launch the web UI for a full dashboard experience.
SARIF output integrates with GitHub Code Scanning, GitLab SAST, and any CI/CD pipeline that speaks SARIF. Block vulnerable code before it reaches production.
Be first to scan your codebase with AI-powered static analysis, PoC generation, and attack chain mapping.