Apache Subversion mod_dav_svn Filename Validation Bypass Vulnerability
CVE-2024-46901 Published on December 9, 2024

Apache Subversion: mod_dav_svn denial-of-service via control characters in paths
Insufficient validation of filenames against control characters in Apache Subversion repositories served via mod_dav_svn allows authenticated users with commit access to commit a corrupted revision, leading to disruption for users of the repository. All versions of Subversion up to and including Subversion 1.14.4 are affected if serving repositories via mod_dav_svn. Users are recommended to upgrade to version 1.14.5, which fixes this issue. Repositories served via other access methods are not affected.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2024-46901 can be exploited with network access, and requires small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a small impact on availability.

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

Weakness Types

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.

What is an Output Sanitization Vulnerability?

The software prepares a structured message for communication with another component, but encoding or escaping of the data is either missing or done incorrectly. As a result, the intended structure of the message is not preserved.

CVE-2024-46901 has been classified to as an Output Sanitization vulnerability or weakness.


Products Associated with CVE-2024-46901

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Affected Versions

Apache Software Foundation Apache Subversion:

Exploit Probability

EPSS
7.26%
Percentile
91.52%

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.