Six years of the GitHub Security Bug Bounty program
Learn more about the Bug Bounty program, including a recap of 2019’s bugs, our expanded scope, new features, and more.
![](https://github.blog/wp-content/uploads/2019/02/octocat-detective.png?resize=1600%2C850)
Last month GitHub reached some big milestones for our Security Bug Bounty program. As of February 2020, it’s been six years since we started accepting submissions. Over the years we’ve been able to invest in the bug bounty community through live events, private bug bounties, feature previews, and of course through cash bounties.
We’re excited to announce that we recently passed $1,000,000 in total payments to researchers since we moved our program to HackerOne in 2016. We paid out over half of our total awards in the last year alone, reaching almost $590,000 in total bounty rewards across our programs. We’ve also been able to provide quick response times to an increasingly large amount of submissions—maintaining an average response time of 17 hours. This is all while seeing a 40 percent increase in submissions since last year. We’re sharing some highlights from the past year along with our upcoming plans for the future.
2019 highlights
Cool bugs
One of my favorite parts of working on the bug bounty program is getting to see the amazing submissions we get from the community. Many of the best submissions show an understanding of GitHub and our technology that rivals that of our own engineering teams. We’ve offered very competitive bounties so we can attract those talented individuals and provide them an incentive to spend time digging deep into our codebase. The community in 2019 did not disappoint.
OAuth flow bypass using cross-site HEAD requests
@not-an-ardvark has a lot of great submissions to our program but this was particularly impactful. He wrote a great post about it in detail that I’ll quickly recap.
GitHub provides a few ways for integrators to interact with our ecosystem. One of the ways integrators can use GitHub is via OAuth applications which allow the application to take actions on behalf of a GitHub user. Before allowing access to a user’s data, an OAuth application must redirect the user to GitHub.com, allowing them to review the requested permissions and explicitly authorize the application. @not-an-ardvark found a way to bypass our controls to authorize OAuth applications without any user interaction. Let’s get into how this happened.
When we process state changing requests on GitHub.com, such as authorizing an OAuth application, we rely on Ruby on Rails’ Cross Site Request Forgery (CSRF) protection. We inject a special token into the DOM of every form element that we validate when receiving POST requests. The OAuth application authorization flow uses POST requests which require a valid CSRF token. However, the OAuth controller incorrectly allowed both POST and HEAD requests to trigger the authorization logic. We skip CSRF validation when processing HEAD requests since they’re not typically state changing. This allowed a malicious site to automatically authorize an OAuth application without any user interaction.
Due to the severity of the vulnerability, we needed to patch it as quickly as possible. We worked closely with the engineering team and shipped a fix to GitHub users within three hours of receiving the submission. We also conducted a full investigation with SIRT engineers and confirmed that this vulnerability wasn’t exploited in the wild. Additionally, we rolled out patches for GitHub Enterprise Server for all supported versions. We rewarded @not-an-aardvark with $25,000 for the severity of the vulnerability and their detailed writeup in their submission.
This bug demonstrates the important role that researchers play in our overall security. By identifying this issue via our bug bounty program, we were able to protect our users by patching the issue and validating that it wasn’t previously exploited.
GitHub.com remote code execution through command injection
@ajxchapman achieved remote code execution in GitHub.com by triggering command injection in our Mercurial import feature. The import logic didn’t correctly sanitize branch names which allowed a maliciously crafted branch name to execute code on our servers. Since the import feature is quite complicated, we’ve traditionally run the import code in a sandbox on dedicated servers isolated from our production network. This isolation limited the impact of the vulnerability, and we were able to quickly release a fix for GitHub.com and backported the fix for GitHub Enterprise Server customers. We also audited the import logic for similar issues and confirmed from our logging systems that this wasn’t exploited in the wild.
What makes this bug particularly interesting is the root cause: it was ultimately caused by an outdated dependency. The bug existed in a dependency that handles code imports and was previously fixed upstream. However, we failed to keep up with the latest version and were ultimately vulnerable to this issue. This issue highlights how critical dependency management is to the overall success of a security program. GitHub continues to invest in dependency management tooling to keep us and our customers secure. Find more of Alex’s work on his personal blog.
Expanded scope
GitHub released many new features in 2019 that were added to our Security Bug Bounty scope:
- Pull reminders added functionality to help keep engineers informed of new pull requests that need attention. We included the solution into our core application and existing Slack integration.
- Automated security updates (formerly Dependabot) added a better way to track vulnerabilities in dependencies since it automatically opens new pull requests updating the version of a dependency when it finds a new security fix.
- GitHub for mobile is GitHub’s first presence in the App Store. This brought new requirements of our API and new security concerns in our application. We’re delivering the same security and functionality that’s available on GitHub.com.
- GitHub Actions is one of GitHub’s biggest releases since pull requests and whole classes of new security corner cases. Through close collaboration with our engineering partners, we’ve provided users the ability to run their code right on GitHub.com.
- Semmle’s LGTM tool was a significant addition to our suite of security tools, like Dependabot and the Maintainer Security Advisories. LGTM allows our users to scan for potential security issues in their code on every pull request.
We’ve had several valuable submissions that influenced the development of these products significantly. We paid out over $20,000 in bounties for vulnerabilities affecting the products in this expanded scope, and we’re excited to continue expanding our Bug Bounty scope as GitHub grows.
H1-702
In August 2019, we returned to Las Vegas to participate in our second H1-702 event. This event invited the top hackers from HackerOne’s platform to join us along with two other companies for three nights of live hacking. We were excited to participate and wanted to give researchers every incentive to dig deep into our application. We even added a bunch of bonuses on top of our base payouts, including bonuses for Best Proof of Concept, Longest Exploit Chain, and RCE. We also set up a CTF on GitHub.com to direct researchers to some of our newest attack surfaces. Lastly, we hid flags in a Maintainer Security Advisory and GitHub Package Registry with bonuses for every flag. We received positive feedback from some of our researchers about our CTF and will continue to include a CTF component in future events.
Overall, we paid out over $155,000 to researchers in one night, with half those rewards for high or critical severity issues. We can’t express how important live-hacking events, like H1-702, are to our bug bounty program. We look forward to more live-hacking events in the future and other new and innovative ways to engage the community.
Private bug bounty
Beyond the wide scope of our public program, we conducted an invite-only program where we preview features to researchers before they’re launched to everyone. These private programs allow us to work closely with a small group, and give us the opportunity to find bugs before they can affect the majority of our users. We’ve paid out just over $37,000 via our private program this year, and many of these findings were fixed before new features reached a significant number of our customers.
Actions CI/CD
Following the success of our first private bug bounty targeting GitHub Actions, we wanted to re-run the private program to target the most recent iteration of our GitHub Actions product. We used what we learned in our first bug bounty to secure the product against similar issues. The community accepted the challenge and found novel bugs in our second iteration.
Automated security updates (formerly Dependabot)
Just like any combination of two complex systems, the acquisition of Dependabot presented a unique challenge for our security team in integrating these two separate architectures. We used the private bug bounty to supplement our own security review of these new services. The findings from the private bug bounty program greatly informed how we integrated Dependabot with GitHub.com. We were also able to surface a few issues before rolling it out.
Pull reminders
Like Dependabot, pull reminders required the same care and attention to ensure a secure transition from an integration to a first-party GitHub product. Pull reminders also added more complexity through its connection to Slack. Our own Slack integration provided a foundation for this feature, but there was significant re-architecture and development to tie these two features together. Again, we turned to our bug bounty community to test our pull reminder integration before releasing the feature widely.
2020 initiatives
We have a lot of plans for 2020 and want to highlight some of our upcoming changes.
Security Lab bounty program
We launched the GitHub Security Lab bounty program to incentivize researchers to help us secure all open source software. The new program rewards community members who write CodeQL queries that detect entire vulnerability classes so that the rest of the community can run those queries against their own projects. This results in removing vulnerabilities at scale.
Making a contribution to this program not only influences the global state of software security, but also prevents similar vulnerabilities from being released in the future. This is an exciting twist on our traditional bug bounty program, and we’re excited to see researchers using our new CodeQL tooling. To date, we received 20 submissions and awarded almost $21,000, with hundreds of vulnerabilities fixed across the OSS ecosystem as a direct result.
CVEs and disclosure
This year, we’re assigning CVEs to bounty submissions which affect GitHub Enterprise Server. This is a big step forward in consistently communicating the state of our software to our customers, but also provides another accolade for our researchers who identify vulnerabilities in GitHub Enterprise Server.
Get involved
Are you excited by the new additions to our program? Get involved! Visit the GitHub Security Bug Bounty page for details of our scope, rules, and rewards. We can’t wait to make GitHub better for everyone with the help of your submissions.
Learn more about the GitHub Security Bug Bounty
Tags:
Written by
Related posts
![](https://github.blog/wp-content/uploads/2024/01/Security-DarkMode-3-1.png?resize=400%2C212)
From object transition to RCE in the Chrome renderer
In this post, I’ll exploit CVE-2024-5830, a type confusion in Chrome that allows remote code execution (RCE) in the renderer sandbox of Chrome by a single visit to a malicious site.
![](https://github.blog/wp-content/uploads/2023/11/Security-LightMode-4.png?resize=400%2C212)
Configure GitHub Artifact Attestations for secure cloud-native delivery
Introducing the generally available capability of GitHub Artifact Attestations to secure your cloud-native supply chain packages and images.
![](https://github.blog/wp-content/uploads/2023/12/Security-DarkMode-1-2.png?resize=400%2C212)
3 ways to get Remote Code Execution in Kafka UI
In this blog post, we’ll explain how we discovered three critical vulnerabilities in Kafka UI and how they can be exploited.