SSRF via Maven Proxy in GitLab EE 16.817.3.2
CVE-2024-8635 Published on September 12, 2024

Server-Side Request Forgery (SSRF) in GitLab
A server-side request forgery issue has been discovered in GitLab EE affecting all versions starting from 16.8 prior to 17.1.7, from 17.2 prior to 17.2.5, and from 17.3 prior to 17.3.2. It was possible for an attacker to make requests to internal resources using a custom Maven Dependency Proxy URL

NVD

Vulnerability Analysis

CVE-2024-8635 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 a high impact on confidentiality, with no impact on integrity and availability.

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

Weakness Type

What is a SSRF Vulnerability?

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. By providing URLs to unexpected hosts or ports, attackers can make it appear that the server is sending the request, possibly bypassing access controls such as firewalls that prevent the attackers from accessing the URLs directly. The server can be used as a proxy to conduct port scanning of hosts in internal networks, use other URLs such as that can access documents on the system (using file://), or use other protocols such as gopher:// or tftp://, which may provide greater control over the contents of requests.

CVE-2024-8635 has been classified to as a SSRF vulnerability or weakness.


Products Associated with CVE-2024-8635

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Affected Versions

GitLab:

Exploit Probability

EPSS
0.07%
Percentile
21.70%

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.