semgrep-rule-creator

To create custom Semgrep rules, you define patterns or taint mode configurations that match insecure code data flows. This process requires writing rule definitions and validating them against test cases to ensure they accurately detect vulnerabilities.

Taint mode analysis tracks the flow of untrusted user input through the codebase to dangerous sinks. By prioritizing data flow tracking over simple pattern matching, it significantly reduces false positives when detecting injection vulnerabilities.

Testing Semgrep rules requires a test-driven approach where you provide both vulnerable and safe code snippets. Validating the rule against these comprehensive test cases ensures it alerts on malicious patterns while ignoring secure code.

Yes, you can author Semgrep rules for both vulnerability detection and code quality issues. The rule creation process supports identifying specific bug patterns, security flaws, and coding standards violations across your codebase.

The best way to detect insecure deserialization in Python is to author a Semgrep rule using taint mode. This tracks untrusted input flowing into dangerous deserialization functions and validates the detection logic with secure and vulnerable test snippets.