Supabase powers 1M+ databases. We ran a full security scan across 628 files — auth, data protection, secrets, injection, logging, AI governance — and found zero vulnerabilities. Here's every practice they got right.
GHSA-mw96-cpmx-2vgc in rollup@4.39.0 enables prototype pollution during builds, exposing CI secrets. Learn the attack chain and how to fix it now.
node-forge@1.3.1 ships 7 GHSA advisories into your Fastify app. Learn how prototype pollution chains to full validation bypass — and how to fix it in CI.
file-type@20.4.1 and valibot@1.1.0 carry 3 open GHSA advisories enabling ReDoS, heap reads, and schema bypass. Learn to fix and prevent this in Elysia.
A single mutable @v3 tag can let attackers execute code in your CI pipeline and steal npm tokens. Learn how to pin actions to commit SHAs and prevent it.
Undici request smuggling and 5 more CVEs in Hono's dependency graph expose thousands of Cloudflare Workers apps. Learn to detect and fix them before attackers do.
A hardcoded JWT fallback secret lets attackers forge admin tokens in 90 seconds. Learn how this CWE-798 flaw works and how to fix it permanently. Scan your repo now.
Found a secret committed to your repo? Rotate first, then follow the 5-step response playbook: audit git history, scan for more secrets, fix your .gitignore, and prevent it with CI scanning.
The 15-item security checklist written for solo founders launching next week — not a Fortune 500 security team. Custodia automates 11 of 15. In priority order.
Manual code reviews miss 60% of OWASP Top 10 vulnerabilities. This guide covers the exact patterns to look for in Node.js, Python, and Go — plus how to automate detection so nothing slips to production.
AI editors ship working code — not audited code. Vibe-coded projects consistently contain 4 vulnerability classes: hardcoded secrets, prompt injection, broken access control, and insecure output handling. Here's how to find them.
AI generated code is not inherently insecure — but it is systematically undertested for security before it ships. After scanning AI-generated projects, the same 4 vulnerability classes appear in almost every codebase.
Samsung engineers leaked source code into ChatGPT. Slack AI got weaponized through a DM. A Bing chatbot revealed its secret identity. These aren't hypotheticals — they all happened, and every one has a direct lesson for developers building AI products today.
To get enterprise buy-in, GitHub had to solve problems no developer tool had faced before: cross-tenant code leakage, licensing liability, secret suggestion prevention, and full audit logging. Here's how they actually built it — and what it still can't do.
One command. OWASP Top 10 + OWASP LLM Top 10 + EU AI Act + SOC 2. Framework-mapped findings with AI fix prompts.