crypto-audit

To scan source code for cryptographic vulnerabilities, you can audit JavaScript, Python, Go, Java, and Rust repositories to detect weak algorithms, hardcoded keys, and insecure randomness. The tool maps findings to CWE and OWASP Top 10:2021 with SAFE remediation guidance.

Common cryptographic anti-patterns detected during a code audit include weak algorithms, hardcoded keys, insecure randomness, weak key sizes, and improper TLS handling. The scanner identifies these issues across multiple languages and provides remediation guidance.

Yes, you can review pull requests for insecure cryptography and TLS configuration issues. The scanner detects 12 crypto anti-patterns, maps findings to CWE and OWASP Top 10:2021, and outputs remediation-oriented guidance suitable for security linting.

Yes, the static analysis tool supports Go, Java, and Rust crypto library migration reviews. It scans files across these languages to surface weak algorithms, insecure randomness, or improper TLS configurations, providing UNSAFE and SAFE remediation examples.

To map detected cryptographic weaknesses to OWASP Top 10:2021 and CWE standards, run an audit on the repository. The scanner automatically maps the 12 detected crypto anti-patterns to these compliance frameworks and provides concrete remediation guidance.

The best way to audit an entire repository for weak key sizes and hardcoded keys is to run a static crypto audit. It scans files across JavaScript, Python, Go, Java, and Rust to identify these anti-patterns and outputs remediation guidance mapped to CWE and OWASP.