scanned 1mo ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓
AI Getting Started Stack
A JavaScript/Next.js starter stack from a16z for building AI weekend projects, wiring together image and text models, a vector store, authentication, and deployment configuration.
It demonstrates an end-to-end path — model calls, embeddings and retrieval, and hosting — so developers can go from idea to deployed AI app quickly.
MIT licensed; intended as a batteries-included template rather than a framework.
! Security: Review · 7575/100 · grade Bscanned 1mo ago
✓ no compromise signals2 risk-surface · 4/20 OWASP controls flagged
Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.
Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).
OWASP Top 10 for LLM Applications
⚠LLM03Supply Chaincritical
Vulnerable/compromised dependencies, models or archives in the artifact.