CSRF in GitHub Enterprise Server 3.12.0 User Interaction Required
CVE-2024-2748 Published on March 21, 2024

CSRF vulnerability was identified in GitHub Enterprise Server that allowed performing actions on behalf of a user
A Cross Site Request Forgery vulnerability was identified in GitHub Enterprise Server that allowed an attacker to execute unauthorized actions on behalf of an unsuspecting user. A mitigating factor is that user interaction is required. This vulnerability affected GitHub Enterprise Server 3.12.0 and was fixed in versions 3.12.1. This vulnerability was reported via the GitHub Bug Bounty program. 

NVD

Vulnerability Analysis

CVE-2024-2748 is exploitable with network access, requires user interaction. 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, with no impact on integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
REQUIRED
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
LOW
Availability Impact:
NONE

Weakness Type

What is a Session Riding Vulnerability?

The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. When a web server is designed to receive a request from a client without any mechanism for verifying that it was intentionally sent, then it might be possible for an attacker to trick a client into making an unintentional request to the web server which will be treated as an authentic request. This can be done via a URL, image load, XMLHttpRequest, etc. and can result in exposure of data or unintended code execution.

CVE-2024-2748 has been classified to as a Session Riding vulnerability or weakness.


Products Associated with CVE-2024-2748

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Affected Versions

GitHub Enterprise Server:

Exploit Probability

EPSS
0.25%
Percentile
48.40%

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.