Apache Roller XSS via Profile/Bookmark/Blogroll Fields 5.0.06.1.3
CVE-2024-25090 Published on July 26, 2024

Apache Roller: Insufficient input validation for some user profile and bookmark fields when Roller in untested-users mode
Insufficient input validation and sanitation in Profile name & screenname, Bookmark name & description and blogroll name features in all versions of Apache Roller on all platforms allows an authenticated user to perform an XSS attack. Mitigation: if you do not have Roller configured for untrusted users, then you need to do nothing because you trust your users to author raw HTML and other web content. If you are running with untrusted users then you should upgrade to Roller 6.1.3. This issue affects Apache Roller: from 5.0.0 before 6.1.3. Users are recommended to upgrade to version 6.1.3, which fixes the issue.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2024-25090 is exploitable with network access, requires user interaction and a 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 small impact on confidentiality and integrity, and no impact on availability.

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

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 a XSS Vulnerability?

The software does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

CVE-2024-25090 has been classified to as a XSS vulnerability or weakness.


Products Associated with CVE-2024-25090

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Affected Versions

Apache Software Foundation Apache Roller:

Exploit Probability

EPSS
0.68%
Percentile
71.27%

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.