CVE-2025-43559
Published: 13 May 2025
Summary
CVE-2025-43559 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 6.0% 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 that permits arbitrary code execution in the context of the current user. The flaw is tracked as CVE-2025-43559 and carries a CVSS 3.1 score of 9.1, reflecting network attack vector, low attack complexity, high privileges required, no user interaction, and changed scope.
A high-privileged attacker can exploit the issue remotely to bypass security controls and achieve full confidentiality, integrity, and availability impact on the affected system. Exploitation does not require user interaction.
The referenced Adobe security bulletin at https://helpx.adobe.com/security/products/coldfusion/apsb25-52.html addresses remediation for the affected ColdFusion releases. The EPSS score remains flat at 0.1229 with no observed rise after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-14518
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.