CVE-2025-10771
Published: 21 September 2025
Summary
CVE-2025-10771 is a low-severity Improper Input Validation (CWE-20) vulnerability in Jeecg Jimureport. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 25.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-30382
Vulnerability details
A vulnerability was determined in jeecgboot JimuReport up to 2.1.2. Affected is an unknown function of the file /drag/onlDragDataSource/testConnection of the component DB2 JDBC Handler. Executing manipulation of the argument clientRerouteServerListJNDIName can lead to deserialization. The attack can be executed…
more
remotely. The exploit has been publicly disclosed and may be utilized.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables remote code execution via unsafe deserialization of crafted DB2 JDBC parameters (clientRerouteServerListJNDIName) in the public-facing web endpoint /drag/onlDragDataSource/testConnection.
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.