CVE-2025-5326
Published: 29 May 2025
Summary
CVE-2025-5326 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Zhilink Adp Application Developer Platform. Its CVSS base score is 5.3 (Medium).
Operationally, ranked at the 45.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-16414
Vulnerability details
A vulnerability was found in zhilink 智互联(深圳)科技有限公司 ADP Application Developer Platform 应用开发者平台 1.0.0 and classified as critical. Affected by this issue is some unknown functionality of the file /adpweb/wechat/verifyToken/. The manipulation leads to deserialization. The attack may be launched remotely.…
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The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
- 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.