CVE-2025-24446
Published: 08 April 2025
Summary
CVE-2025-24446 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Adobe Coldfusion. Its CVSS base score is 9.1 (Critical).
Operationally, ranked in the top 19.7% 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 contain an Improper Input Validation vulnerability that can lead to arbitrary code execution. The flaw is tracked as CVE-2025-24446 and carries a CVSS 3.1 score of 9.1, reflecting network attack vector, low attack complexity, high impact on confidentiality, integrity and availability, and a scope change.
An attacker who already possesses administrative privileges on the ColdFusion admin panel can exploit the issue remotely without any user interaction, resulting in execution of arbitrary code on the affected server.
Adobe has published advisory APSB25-15 at https://helpx.adobe.com/security/products/coldfusion/apsb25-15.html that addresses the affected versions and supplies remediation guidance.
The associated EPSS score rose from a low baseline to a peak of 0.0692 on 2026-02-03 before receding to the current value of 0.0132, indicating a period of increased exploitation interest after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-11918
Vulnerability details
ColdFusion versions 2023.12, 2021.18, 2025.0 and earlier are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution. Exploitation of this issue does not require user interaction, but admin panel privileges are required, and scope is…
more
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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
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.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.