GitHub Enterprise Server 3.13- command injection in GeoJSON editor
CVE-2024-2443 Published on March 20, 2024
Improper input validation vulnerability was identified in GitHub Enterprise Server that allowed privilege escalation in the Management Console
A command injection vulnerability was identified in GitHub Enterprise Server that allowed an attacker with an editor role in the Management Console to gain admin SSH access to the appliance when configuring GeoJSON settings. Exploitation of this vulnerability required access to the GitHub Enterprise Server instance and access to the Management Console with the editor role. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.13 and was fixed in versions 3.8.17, 3.9.12, 3.10.9, 3.11.7, and 3.12.1. This vulnerability was reported via the GitHub Bug Bounty program.
Vulnerability Analysis
CVE-2024-2443 can be exploited with network access, and requires user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.
Weakness Type
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
Products Associated with CVE-2024-2443
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Affected Versions
GitHub Enterprise Server:- Version 3.8.0 and below 3.8.17 is affected.
- Version 3.9.0 and below 3.9.12 is affected.
- Version 3.10.0 and below 3.10.9 is affected.
- Version 3.11.0 and below 3.11.7 is affected.
- Version 3.12.0 and below 3.12.1 is affected.
- Version 3.8.0 and below 3.8.17 is affected.
- Version 3.9.0 and below 3.9.12 is affected.
- Version 3.10.0 and below 3.10.9 is affected.
- Version 3.11.0 and below 3.11.7 is affected.
- Version 3.12.0 and below 3.12.1 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.