CVE-2025-43560
Published: 13 May 2025
Summary
CVE-2025-43560 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 6.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
ColdFusion versions 2025.1, 2023.13, 2021.19 and earlier contain an Improper Input Validation vulnerability tracked as CVE-2025-43560. The flaw permits arbitrary code execution in the context of the current user and carries a CVSS 3.1 score of 9.1 with the vector AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H.
A high-privileged attacker can exploit the issue over the network without user interaction. Successful exploitation bypasses security mechanisms, changes the scope of the compromise, and yields full control over confidentiality, integrity, and availability on the affected system.
The Adobe security advisory at https://helpx.adobe.com/security/products/coldfusion/apsb25-52.html addresses the issue. The EPSS score has remained near 0.11 with only a minor peak at 0.1209, indicating limited observed exploitation interest to date.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-14540
Vulnerability details
ColdFusion versions 2025.1, 2023.13, 2021.19 and earlier are affected by an Improper Input Validation 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 mechanisms…
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and execute code. Exploitation of this issue does not require 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.
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.