CodeQL zero to hero part 3: Security research with CodeQL

The blog post delves into the advanced use of CodeQL, focusing on variant analysis, writing taint tracking queries, and security research techniques. It highlights the importance of practical experience with CodeQL for effective vulnerability detection, offering challenges hosted on GitHubSecurityLab for hands-on practice. The post emphasizes how CodeQL aids in identifying vulnerabilities by modeling sources and sinks, utilizing data flow and taint analysis to trace connections between them. It discusses the significance of variant analysis for discovering multiple instances of the same vulnerability and introduces multi-repository variant analysis (MRVA) for large-scale scanning. The article also explores the security research methodology with CodeQL, including identifying attack surfaces, and mentions community research efforts leveraging CodeQL for diverse vulnerability discoveries across various programming languages.