CVE-2025-11346
Published: 06 October 2025
Summary
CVE-2025-11346 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Ilias Ilias. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 28.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-32129
- 🇩🇪 CERT-Bund: wid.cert-bund.de
Vulnerability details
A vulnerability has been found in ILIAS up to 8.23/9.13/10.1. This affects the function unserialize of the component Base64 Decoding Handler. Such manipulation of the argument f_settings leads to deserialization. It is possible to launch the attack remotely. Upgrading to…
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version 8.24, 9.14 and 10.2 is able to mitigate this issue. It is advisable to upgrade the affected component.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Insecure deserialization (CWE-502) in ILIAS web application's Base64 decoding handler allows authenticated remote code execution via crafted f_settings parameter, enabling exploitation of a public-facing application.
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.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.