CVE-2024-25090
Published: 26 July 2024
Summary
CVE-2024-25090 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Apache Roller. Its CVSS base score is 5.4 (Medium).
Operationally, ranked in the top 36.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-22452
Vulnerability details
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…
more
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.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.