c-review

Automated C/C++ security auditing identifies memory corruption, integer overflows, and race conditions by orchestrating parallel worker agents for code analysis, followed by deduplication and false-positive filtering judges to ensure accurate vulnerability discovery.

Finding integer overflows and type confusion in C++ services requires a multi-stage analysis approach that deduplicates findings and filters false positives, satisfying requirements for automated vulnerability discovery in native application codebases.

Yes, this automated vulnerability discovery requires python3 as a dependency to execute its scripts. It works with native application codebases including daemons, services, and userspace utilities to ensure memory safety.

Yes, C/C++ security audits can generate SARIF-compliant reporting. The multi-stage analysis identifies vulnerabilities, deduplicates findings, and outputs results in a SARIF-compliant format for compliance tracking.

Running a high-severity security audit on a Linux daemon involves invoking an automated skill against the current directory. This targets native application codebases to identify memory safety and concurrency vulnerabilities.

Automated memory safety reviews for native codebases rely on multi-stage analysis with false-positive filtering judges, meaning complex logic errors outside of memory corruption, integer overflows, and race conditions may not be detected.