One command audits your entire codebase with AI-powered white-box analysis. Finds real SQL injection, XSS, and auth bypass vulnerabilities — and proves they exist — before attackers do.
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In June 2026, the open-source AI pentesting tool Shannon hit 44,000 GitHub stars and over 5,000 forks — making it one of the fastest-growing security tools in GitHub history. The reason is simple: AI coding agents now generate the majority of new code in startups and indie projects, but traditional security scanners were built for human-written code and miss the unique vulnerability patterns that AI-generated code introduces.
Existing tools like Snyk and Semgrep are valuable but limited. Snyk checks your dependencies for known CVEs — it doesn't understand your application's authentication logic. Semgrep matches code patterns — it can't execute a multi-step attack chain to prove a vulnerability is real. If you're an indie developer shipping a SaaS product, you're effectively deploying blind. A single data breach can destroy your reputation and your business overnight.
ShipSecure brings white-box AI pentesting to indie developers. Rather than scanning for patterns, it reads your source code like an attacker would — understanding your auth flow, tracing data through your API routes, and safely executing proof-of-concept exploits to confirm each finding. The result: every vulnerability in your report is real and exploitable, with a step-by-step fix guide written in plain English — not security researcher jargon.
Run a single command in your project directory. ShipSecure analyzes your entire codebase — reading source files, tracing data flows through middleware and API routes, and building a map of how your application actually works.
Using white-box analysis, the AI understands your authentication logic, database query patterns, and API structure. It then attempts multi-step attack chains — like chaining an IDOR with a privilege escalation — to prove vulnerabilities are real, not theoretical.
Each finding includes: what's vulnerable, exactly how an attacker would exploit it, and which specific lines of code to change. No false positives, no academic CVSS scores — just actionable fixes you can apply before your next deploy.
ShipSecure safely executes proof-of-concept attacks to confirm each vulnerability. If a finding appears in your report, it means the AI successfully exploited it — zero false positives, guaranteed.
Unlike black-box scanners that only see URLs, ShipSecure reads your actual source code — understanding auth middleware, database queries, and business logic that external tools completely miss.
Every vulnerability comes with a developer-friendly explanation: what's broken, how an attacker exploits it, and the exact code change needed — no security PhD required to understand or apply the fix.