CVE-2025-4742
Published: 16 May 2025
Summary
CVE-2025-4742 is a medium-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 4.8 (Medium).
Operationally, ranked at the 31.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-15532
Vulnerability details
A vulnerability classified as problematic has been found in XU-YIJIE grpo-flat up to 9024b43f091e2eb9bac65802b120c0b35f9ba856. Affected is the function main of the file grpo_vanilla.py. The manipulation leads to deserialization. Local access is required to approach this attack. Continious delivery with rolling…
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releases is used by this product. Therefore, no version details of affected nor updated releases are available.
- 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.
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.