GitHub and Entry have introduced an AI‑powered Code Scanning Autofix that automatically detects, prioritizes, and repairs security flaws in JavaScript, TypeScript, Java, and Python code, dramatically speeding up vulnerability remediation for private repositories.
This guide introduces CodeQL, explains how to install the required tools, shows how to generate a source‑code database, and walks through basic and advanced rule syntax with practical C/C++ examples, enabling security researchers to efficiently discover vulnerabilities in large codebases.
Using LGTM’s online CodeQL scanner, the author demonstrates how a 2020 CWE‑074 rule can automatically detect a Log4j2 0‑day vulnerability, explains the rule’s data‑flow logic, and provides step‑by‑step instructions for scanning open‑source projects and responsibly handling discovered exploits.
This article explains the fundamentals of abstract syntax trees, Java AST analysis with Spoon, the principles of static application security testing and taint analysis, and demonstrates how to use CodeQL to detect unsafe Fastjson usage and Spring web path bindings in a CI/CD pipeline.
