CVE-2025-30285
Published: 08 April 2025
Summary
CVE-2025-30285 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Adobe Coldfusion. Its CVSS base score is 8.4 (High).
Operationally, ranked in the top 18.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
ColdFusion versions 2023.12, 2021.18, 2025.0 and earlier are affected by a Deserialization of Untrusted Data vulnerability that can lead to arbitrary code execution in the context of the current user. The flaw is tracked as CWE-502 and carries a CVSS 3.1 score of 8.4.
A high-privileged attacker can leverage the issue to bypass security protections and execute code, although exploitation requires user interaction and results in a changed scope.
Adobe has published security advisory APSB25-15 at https://helpx.adobe.com/security/products/coldfusion/apsb25-15.html that addresses the vulnerability.
The associated EPSS score rose materially from a low baseline to a peak of 0.3401 on 2026-01-13 before receding, indicating that exploitation interest emerged after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-11914
Vulnerability details
ColdFusion versions 2023.12, 2021.18, 2025.0 and earlier are affected by a Deserialization of Untrusted Data vulnerability that could result in arbitrary code execution in the context of the current user. A high-privileged attacker could leverage this vulnerability to bypass security…
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protections and execute code. Exploitation of this issue requires user interaction and scope is changed.
- 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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
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.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.