Discover the exciting enhancements in GitHub that empower Machine Learning practitioners to do more.
As security researchers, the GitHub Security Lab team constantly embarks on an emotional journey with each new vulnerability challenge. The excitement of starting new research, the disappointment that comes with hitting a plateau, the energy it takes to stay focused and on target…and hopefully, the sheer joy of achieving a tangible result after weeks or months of working on a problem that seemed unsolvable.
Regardless of how proud you are of the results, do you ever get a nagging feeling that maybe you didn’t make enough of an impact? While single bug fixes are worthwhile in improving code, it’s not sufficient enough to improve the state of security of the open source software (OSS) ecosystem as a whole. This holds true especially when you consider that software is always growing and changing—and as vulnerabilities are fixed, new ones are introduced.
At GitHub, we host millions of OSS projects which puts us in a unique position to take a different approach with OSS security. We have the power and responsibility to make an impact beyond single bug fixes. This is why a big part of the GitHub Security Lab mission is to find ways to scale our vulnerability hunting efforts and empower others to do the same.
Our goal is to turn single vulnerabilities into hundreds, if not thousands, of bug fixes at a time. Enabled by the GitHub engineering teams, we aim to establish workflows that are open to the community that tackle vulnerabilities at scale on the GitHub platform.
Ultimately, we want to establish feedback loops with the developer and security communities, and act as security facilitators, all while working with the OSS community to secure the software we all depend upon.
We’re taking a deep-dive in the remediation of a security vulnerability with CERT. Learn more about how we found ways to scale our vulnerability hunting efforts and empower others to do the same.