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GitHub’s Dependabot alerts have received a significant update aimed at improving the way developers assess and prioritize vulnerabilities in their projects. By incorporating the Exploit Prediction Scoring System (EPSS) from the Forum of Incident Response and Security Teams (FIRST), GitHub provides an enhanced method for evaluating the likelihood of a vulnerability being exploited. This new feature allows developers to make more informed decisions about which vulnerabilities need immediate attention, reducing risks and improving overall project security.
Summary:
GitHub’s Dependabot alerts now include the Exploit Prediction Scoring System (EPSS) to help assess vulnerability risks more effectively. The EPSS score, ranging from 0 to 1 (0% to 100%), indicates the likelihood that a vulnerability will be exploited. Higher scores suggest a greater risk of exploitation. Along with the EPSS score, a percentile is shown to help compare vulnerabilities based on their likelihood of being exploited. For instance, a vulnerability with an EPSS score of 90.534% at the 95th percentile means that there is a 90.534% chance it will be exploited in the next 30 days, and it’s more likely to be exploited than 95% of other vulnerabilities. This feature is currently available on GitHub.com and will be accessible in GitHub Enterprise Server version 3.17. Developers can use the EPSS scores to better prioritize vulnerabilities and address the ones with the highest risk of exploitation.
What Undercode Say:
The of EPSS scores to Dependabot alerts is a major leap forward in vulnerability management for developers. It provides a dynamic, data-driven approach to assessing risk, offering more than just the traditional CVSS (Common Vulnerability Scoring System) metrics that typically assess severity. The addition of EPSS means developers can now gauge the actual likelihood that a vulnerability will be actively exploited within a given timeframe.
One key feature of EPSS is its percentile ranking system. This allows developers to view a vulnerability in the context of others, rather than simply relying on a generic score. For instance, knowing that a vulnerability ranks in the 95th percentile means it is among the top 5% most likely to be exploited, a critical piece of information when deciding how to allocate resources and prioritize remediation efforts. This is a more actionable metric than severity scores alone, which can often leave developers unsure of which vulnerabilities pose the greatest immediate threat.
Another benefit is the time-sensitive nature of the EPSS prediction. The system predicts the likelihood of exploitation within a specific window of time—typically the next 30 days. This time-based consideration is essential, as it helps teams focus on vulnerabilities that are more likely to be used in attacks right now, rather than those that may pose a threat in the distant future. This shift from broad, abstract vulnerability data to actionable, time-based risk prioritization enables development teams to be more agile and responsive to current threats.
By integrating EPSS, GitHub has made it easier for developers to adopt a risk-based approach to vulnerability management. Prioritization is no longer solely based on severity, but also on real-world exploitability, which helps teams allocate resources more effectively. Instead of manually sorting through a multitude of alerts, developers can focus on the vulnerabilities that truly matter, reducing the noise and improving overall response times.
However, it’s important to note that EPSS is not a perfect system. While it provides valuable insight into the likelihood of exploitation, it is based on historical data and may not account for new or evolving attack vectors. It’s still critical for teams to combine EPSS data with other security best practices, including regular code reviews, secure coding guidelines, and ongoing monitoring for emerging threats.
As the feature rolls out to GitHub Enterprise Server with version 3.17, it marks a significant milestone in GitHub’s security offerings, bringing deeper insights into vulnerability management for enterprise-level applications. Organizations will be able to use these predictive scores to refine their risk assessments and reduce the number of vulnerabilities that fall through the cracks.
For many teams, this may be the push needed to integrate more robust vulnerability management practices into their development cycles. While DevSecOps practices have grown in prominence, a tool like EPSS allows teams to take a more data-driven, proactive approach to security, rather than reacting to vulnerabilities after they have been exploited.
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Reported By: https://github.blog/changelog/2025-02-19-boost-your-productivity-with-github-copilot-in-jetbrains-ides-introducing-project-context-ai-generated-commit-messages-and-other-updates
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