GitHub Enterprise Server Auth Bypass: Write-Users Leak Repo Meta 3.22
CVE-2026-15783 Published on July 17, 2026
Missing Authorization vulnerability was identified in GitHub Enterprise Server that allowed reading private repository metadata via delegated bypass rule suites
A missing authorization vulnerability was identified in GitHub Enterprise Server that allowed an authenticated user with write access to any repository to read metadata from private repositories they did not have access to, including private repository owners and names, branch names, commit SHAs, commit messages, and the pushing actor. The delegated bypass endpoint resolved a rule suite directly from an attacker-supplied, encoded identifier without verifying that the requesting user could read the rule suite's repository, and because these identifiers are sequential an attacker could enumerate them across the instance. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.22 and was fixed in versions 3.17.18, 3.18.12, 3.19.9, 3.20.5, and 3.21.3. This vulnerability was reported via the GitHub Bug Bounty program.
Vulnerability Analysis
CVE-2026-15783 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity and availability.
Weakness Type
What is an AuthZ Vulnerability?
The software does not perform an authorization check when an actor attempts to access a resource or perform an action.
CVE-2026-15783 has been classified to as an AuthZ vulnerability or weakness.
Products Associated with CVE-2026-15783
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Affected Versions
GitHub Enterprise Server:- Version 3.17.0, <= 3.17.17 is affected.
- Version 3.18.0, <= 3.18.11 is affected.
- Version 3.19.0, <= 3.19.8 is affected.
- Version 3.20.0, <= 3.20.4 is affected.
- Version 3.21.0, <= 3.21.2 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.