CVE-2025-24447
Published: 08 April 2025
Summary
CVE-2025-24447 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Adobe Coldfusion. Its CVSS base score is 9.1 (Critical).
Operationally, ranked in the top 10.5% 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, tracked as CVE-2025-24447 and assigned CWE-502. The flaw permits arbitrary code execution in the context of the current user and carries a CVSS 3.1 base score of 9.1 reflecting network attack vector, low complexity, and no required privileges or user interaction, with high impact to confidentiality and integrity.
An unauthenticated attacker can send a malicious serialized payload over the network to trigger the vulnerability, resulting in code execution that affects data confidentiality and integrity without any user interaction.
Adobe has published advisory APSB25-15 at https://helpx.adobe.com/security/products/coldfusion/apsb25-15.html to address the issue in ColdFusion.
EPSS for the CVE rose from a low baseline to a peak of 0.3029 on 2026-01-13 before receding to the current value of 0.0460, indicating that exploitation interest increased after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-11917
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 resulting in a High impact to Confidentiality and Integrity. Exploitation…
more
of this issue does not require user interaction.
- 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.