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How GitHub uses CodeQL to secure GitHub
How GitHub’s Product Security Engineering team manages our CodeQL implementation at scale and how you can, too.
How GitHub’s Product Security Engineering team manages our CodeQL implementation at scale and how you can, too.
In the last few months, we secured 75+ GitHub Actions workflows in open source projects, disclosing 90+ different vulnerabilities. Out of this research we produced new support for workflows in CodeQL, empowering you to secure yours.
We are excited to introduce the new CodeQL Community Packs, a comprehensive set of queries and models designed to enhance your code analysis capabilities. These packs are tailored to augment…
Learn how I discovered 11 new vulnerabilities by writing CodeQL models for Gradio framework and how you can do it, too.
Here’s how SAST tools combine generative AI with code scanning to help you deliver features faster and keep vulnerabilities out of code.
Learn how to use CodeQL for security research and improve your security research workflow.
Now in public beta for GitHub Advanced Security customers, code scanning autofix helps developers remediate more than two-thirds of supported alerts with little or no editing.
A peek under the hood of GitHub Advanced Security code scanning autofix.
More developers will have to fix security issues in the age of shifting left. Here, we break down how SAST tools can help them find and address vulnerabilities.
In practice, shifting left has been more about shifting the burden rather than the ability. But AI is bringing its promise closer to reality. Here’s how.
This blog post describes two linked vulnerabilities found in Frigate, an AI-powered security camera manager, that could have enabled an attacker to silently gain remote code execution.
We’ve added new improvements to default setup, including automatically scheduling scans on repositories and support for all CodeQL covered languages.
Learn how researchers and security experts at GitHub, Microsoft, and Santander came together to address the challenges presented by the post-quantum cryptography world.
The effectiveness of a static application security solution hinges on its ability to provide extensive vulnerability coverage and support for a wide range of languages and frameworks. Today, we’re highlighting two releases that’ll help you discover more vulnerabilities in your codebase, so you can ship more secure software.
Learn how GitHub’s CodeQL leveraged AI modeling and multi-repository variant analysis to discover a new CVE in Gradle.
Build what’s next on GitHub, the place for anyone from anywhere to build anything.