CVE-2025-8963
Published: 14 August 2025
Summary
CVE-2025-8963 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Jeecg Jimureport. 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 41.2th 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-2025-24808
Vulnerability details
A vulnerability was determined in jeecgboot JimuReport up to 2.1.1. Affected by this issue is some unknown functionality of the file /drag/onlDragDataSource/testConnection of the component Data Large Screen Template. The manipulation leads to deserialization. The attack may be launched remotely.…
more
The vendor response to the GitHub issue report is: "Modified, next version updated".
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerability allows remote code execution via crafted PostgreSQL JDBC connection string in /drag/onlDragDataSource/testConnection endpoint of public-facing JimuReport web application, enabling exploitation (T1190) and arbitrary command execution via ProcessBuilder (T1059).
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.