CVE-2025-5680
Published: 05 June 2025
Summary
CVE-2025-5680 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Tongzhouyun Agilebpm. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 23.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-17026
Vulnerability details
A vulnerability classified as critical was found in Shenzhen Dashi Tongzhou Information Technology AgileBPM up to 2.5.0. Affected by this vulnerability is the function executeScript of the file /src/main/java/com/dstz/sys/rest/controller/SysScriptController.java of the component Groovy Script Handler. The manipulation of the argument…
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script leads to deserialization. The attack can be launched remotely. The exploit has been disclosed to the public and may be used.
- 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.