Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-49533 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Adobe Experience Manager. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Adobe Experience Manager (MS) versions 6.5.23.0 and earlier contain a Deserialization of Untrusted Data vulnerability tracked as CVE-2025-49533 and CWE-502. The flaw permits arbitrary code execution and carries a CVSS 3.1 base score of 9.8 reflecting network attack vector, low attack complexity, no required privileges or user interaction, and unchanged scope.
An unauthenticated attacker can send a malicious serialized payload over the network to trigger the vulnerability and obtain arbitrary code execution on the affected system, resulting in full compromise of confidentiality, integrity, and availability.
Adobe has published mitigation guidance in security advisory APSB25-67, available at https://helpx.adobe.com/security/products/aem-forms/apsb25-67.html. The EPSS score for this CVE currently stands at 0.7643 with a recorded peak of 0.7749.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-20752
Vulnerability Data
Adobe Experience Manager (MS) versions 6.5.23.0 and earlier are affected by a Deserialization of Untrusted Data vulnerability that could lead to arbitrary code execution by an attacker. Exploitation of this issue does not require user interaction. Scope is unchanged.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.