New Product — SILENTCHAIN SOURCE

Find Vulnerabilities
In Your Source Code
With AI

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.

4
Phase Analysis Pipeline
5
AI Providers Supported
80K+
RAG Knowledge Documents
SARIF
CI/CD Native Output

4-Phase Scanning
Pipeline

From file discovery to exploit proof-of-concept. Each phase feeds the next with AI-enriched context.

1

Discovery

Automatically crawl local codebases or clone Git repos. Identify security-relevant files, entry points, and data flows across the project.

Local FS • Git repos • File fingerprinting
2

AI Analysis

AI models analyze each target for OWASP Top 10 vulnerabilities with full code context. RAG provides real-world exploit knowledge.

OWASP Top 10 • CWE mapping • RAG context
3

PoC Generation

For each confirmed vulnerability, AI generates working proof-of-concept exploit code. Execute safely in a Docker sandbox.

Exploit code • Docker sandbox • Safe execution
4

Attack Chains

Connect related findings into multi-step attack chains that demonstrate real-world impact. Visualize data flow from source to sink.

Chain mapping • Impact analysis • Data flow

Built for Security
Engineers

Everything you need to find, verify, and report source code vulnerabilities at scale.

🧠

Multi-AI Analysis

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.

🛡️

Docker Sandbox

AI-generated exploit PoCs run in isolated Docker containers. Verify vulnerabilities safely without risking your development environment.

🔗

Attack Chain Mapping

Automatically connect related findings into multi-step attack chains. Visualize data flow from user input to exploitable sink.

📊

Advisory Reports

Generate professional HTML vulnerability reports with severity ratings, CWE classifications, code snippets, and remediation guidance.

Real-Time Web UI

React 19 dashboard with WebSocket live streaming. Watch findings appear in real time as scans progress. Filter, triage, and export from the browser.

🔍

Cross-Product Correlation

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 →

Your AI, Your Choice

Run fully local with Ollama for zero data exposure, or use cloud models for maximum accuracy.

🦙

Ollama

100% local, private

Zero data exposure

OpenAI

GPT-4o, GPT-4

💬

Claude API

Opus, Sonnet, Haiku

💎

Gemini

Pro, Ultra

💻

Claude Code

Autonomous audit

Tool use

Every Finding
Backed by Real
Exploit Intelligence

SILENTCHAIN 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.

80K+
Knowledge Base Documents
46K+
Exploit-DB Entries
6.5K+
HackerOne Reports
25+
Knowledge Sources
[SOURCE] Analyzing: auth/login.py
[AI] Potential SQL injection in query()
[RAG] Retrieving context...
  ↳ CWE-89: SQL Injection (OWASP A03)
  ↳ CVE-2024-1234: Similar pattern in Django ORM
  ↳ Exploit-DB #51823: Auth bypass via SQLi
  ↳ HackerOne #1847291: $15K bounty, same sink
✓ Finding enriched — 4 references, confidence: HIGH
✓ PoC generated — based on Exploit-DB pattern
✓ Feedback sent — KB updated for next scan

Scan in
60 Seconds

CLI-first design. Point at a codebase, pick your AI, get findings. Or launch the web UI for a full dashboard experience.

  • 01. Install with pip
  • 02. Scan a local project or Git repo
  • 03. Review findings in the web UI
  • 04. Export SARIF for your CI/CD pipeline
$ pip install silentchain-source
✓ Installed silentchain-source
$ silentchain-source scan --path ./myapp
[Discovery] Scanning 342 files...
[AI] Analyzing with Ollama (llama3)...
[Finding] SQL Injection in auth/login.py:47
[Finding] XSS in templates/profile.html:12
[Finding] SSRF in api/proxy.py:89
[PoC] Generated 3 exploit PoCs
[Chain] Mapped 1 attack chain
✓ Scan complete: 3 High, 2 Medium, 1 Low
$ silentchain-source serve --port 9099
✓ Web UI at http://localhost:9099
# GitHub Actions example
- name: SILENTCHAIN SOURCE Scan
  run: |
    silentchain-source scan \
      --path . \
      --output results.sarif \
      --format sarif
- name: Upload SARIF
  uses: github/codeql-action/upload-sarif@v3
  with:
    sarif_file: results.sarif

Ship Secure
Code, Every
Commit

SARIF output integrates with GitHub Code Scanning, GitLab SAST, and any CI/CD pipeline that speaks SARIF. Block vulnerable code before it reaches production.

  • SARIF v2.1 output — native GitHub Code Scanning integration
  • JSON and HTML report formats for custom workflows
  • Exit codes for pass/fail gating in CI pipelines
  • Docker image available for containerized scanning
  • Git repo URL input — scan any branch or commit
SARIF v2.1 JSON HTML Advisory

Get Early Access to
SILENTCHAIN SOURCE

Be first to scan your codebase with AI-powered static analysis, PoC generation, and attack chain mapping.

FROM THE BLOG

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