Audit Code

**Quick judgment:** A solid, security-oriented static audit tool that adds meaningful protection against common, high-impact mistakes (hardcoded secrets, dangerous calls, basic injection patterns). It’s well-suited as a lightweight security layer in everyday workflows, especially around AI-assisted code generation. **Strengths:** - Detects hardcoded credentials (API keys, tokens, private keys, connection strings, passwords) and sensitive files (.env, credential artifacts). - Flags risky primitives (`eval`, `exec`, `subprocess(shell=True)`, unsafe deserialization, `system()`, `gets()`, etc.). - Looks for simple SQL injection patterns and dependency issues (hallucinated/unverified packages). - Identifies exfiltration-style patterns (e.g., base64 + network send, credential-file reads) and permissive `chmod` usage. - Produces a structured, severity-ranked report with remediation guidance, making findings actionable. **Risks & limitations:** - Static, pattern-based analysis will generate false positives (e.g., test fixtures, benign base64 usage) and false negatives (complex or contextual vulnerabilities). - Likely better for mainstream languages and common patterns; niche frameworks or nonstandard query builders may not be accurately analyzed. - Large monorepos may incur longer runtimes and noisy output unless paths and ignore patterns are tuned. - Should not be treated as a full SAST/DAST replacement; it covers a useful subset of security issues, not exhaustive coverage. **Recommended scenarios:** - Use as a **pre-commit / pre-push hook** and **CI gate** to block obvious secrets and dangerous constructs before code is shared. - Run on **AI-generated code** to catch insecure defaults or hallucinated dependency usage. - Integrate into **PR review workflows** for teams that lack dedicated AppSec staff but want practical, automated security checks. - Schedule **periodic scans of existing repos** to discover long-lived secrets, overly permissive file permissions, and suspicious exfiltration patterns.