CVE-2025-59531
Argoproj Argo Cd 1.2.0 – 1.8.7
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2025-59531 is a high-severity Improper Check or Handling of Exceptional Conditions (CWE-703) vulnerability in Argoproj Argo Cd. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Endpoint Denial of Service (T1499); ranked at the 43th percentile by exploit likelihood (below the median); 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 SC-24 (Fail in Known State) and SI-17 (Fail-safe Procedures) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-31767
Vulnerability Data
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Versions 1.2.0 through 1.8.7, 2.0.0-rc1 through 2.14.19, 3.0.0-rc1 through 3.2.0-rc1, 3.1.7 and 3.0.18 are vulnerable to malicious API requests which can crash the API server and cause denial of…
more
service to legitimate clients. Without a configured webhook.bitbucketserver.secret, Argo CD's /api/webhook endpoint crashes when receiving a malformed Bitbucket Server payload (non-array repository.links.clone field). A single unauthenticated request triggers CrashLoopBackOff, and targeting all replicas causes complete API outage. This issue is fixed in versions 2.14.20, 3.2.0-rc2, 3.1.8 and 3.0.19.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Enforces failure to a known state while preserving required properties, limiting impact of unhandled exceptions.
Mandates explicit fail-safe procedures triggered by indicated failures, structurally preventing unhandled exceptional conditions.
Requires application of security engineering principles that include robust exception and error handling during design.
Requires generation of safe, actionable error messages that directly addresses proper handling of exceptional conditions.
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.
Secure SDLC practices explicitly require anticipating and correctly handling exceptional conditions during design and coding.
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.
Reporting of unhandled errors or exceptional conditions surfaces latent failure paths so they can be corrected before exploitation.