Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2026-25769 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Wazuh Wazuh. Its CVSS base score is 9.1 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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.
CVE-2026-25769 is a Remote Code Execution (RCE) vulnerability stemming from Deserialization of Untrusted Data (CWE-502) in Wazuh, a free and open-source platform for threat prevention, detection, and response. It affects versions 4.0.0 through 4.14.2, specifically impacting deployments in cluster mode with a master/worker architecture. The vulnerability enables exploitation across nodes in this setup, with a CVSS v3.1 base score of 9.1 (AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H), indicating high severity due to its potential for complete system compromise.
An attacker requires high privileges (PR:H) by first gaining access to a worker node through any means, such as initial access, insider threat, or supply chain attack. Once on a worker node, the attacker can remotely execute arbitrary code on the master node with root privileges, achieving full control over the primary cluster node and potentially the entire Wazuh deployment.
Wazuh has addressed the issue in version 4.14.3, which organizations should apply immediately to mitigate risk. Official advisories, including those on the Wazuh GitHub security page (GHSA-3gm7-962f-fxw5), detail the patch and recommend upgrading affected cluster deployments while scrutinizing worker node security.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-12595
Vulnerability Data
Wazuh is a free and open source platform used for threat prevention, detection, and response. Versions 4.0.0 through 4.14.2 have a Remote Code Execution (RCE) vulnerability due to Deserialization of Untrusted Data). All Wazuh deployments using cluster mode (master/worker architecture)…
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and any organization with a compromised worker node (e.g., through initial access, insider threat, or supply chain attack) are impacted. An attacker who gains access to a worker node (through any means) can achieve full RCE on the master node with root privileges. Version 4.14.3 fixes the issue.
- 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.