Evidence used
- No CISA KEV confirmation is currently recorded.
- EPSS is 0.94% for the current model date.
BlackTreeCVE Intelligenceargoproj · argo-cd
Official source article: GitHub GHSA-2M7H-86QQ-FP4V ↗. Check the applicable product and release in the original source.
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
Patch availableArgo CD is a declarative, GitOps continuous delivery tool for Kubernetes. All versions of Argo CD starting with v0.11.0 are vulnerable to a variety of attacks when an SSO login is initiated from the Argo CD CLI or UI. The vulnerabilities are due to the use of insufficiently random values in parameters in Oauth2/OIDC login flows. In each case, using a relatively-predictable (time-based) seed in a non-cryptographically-secure pseudo-random number generator made the parameter less random than required by the relevant spec or by general best practices. In some cases, using too short a value made the entropy even less sufficient. The attacks on login flows which are meant to be mitigated by these parameters are difficult to accomplish but can have a high impact potentially granting an attacker admin access to Argo CD. Patches for this vulnerability has been released in the following Argo CD versions: v2.4.1, v2.3.5, v2.2.10 and v2.1.16. There are no known workarounds for this vulnerability.
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. All versions of Argo CD starting with v0.11.0 are vulnerable to a variety of attacks when an SSO login is initiated from the Argo CD CLI or UI. The vulnerabilities are due to the use of insufficiently random values in parameters in Oauth2/OIDC login flows. In each case, using a relatively-predictable (time-based) seed in a non-cryptographically-secure pseudo-random number generator made the parameter less random than required by the relevant spec or by general best practices. In some cases, using too short a value made the entropy even less sufficient. The attacks on login flows which are meant to be mitigated by these parameters are difficult to accomplish but can have a high impact potentially granting an attacker admin access to Argo CD. Patches for this vulnerability has been released in the following Argo CD versions: v2.4.1, v2.3.5, v2.2.10 and v2.1.16. There are no known workarounds for this vulnerability.
The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.
An attacker operating through a network path may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. All versions of Argo CD starting with v0.11.0 are vulnerable to a variety of attacks when an SSO login is initiated from the Argo CD CLI or UI. The vulnerabilities are due to the use of insufficiently random values in parameters in Oauth2/OIDC login flows. In each case, using a relatively-predictable (time-based) seed in a non-cryptographically-secure pseudo-random number generator made the parameter less random than required by the relevant spec or by general best practices. In some cases, using too short a value made the entropy even less sufficient. The attacks on login flows which are meant to be mitigated by these parameters are difficult to accomplish but can have a high impact potentially granting an attacker admin access to Argo CD. Patches for this vulnerability has been released in the following Argo CD versions: v2.4.1, v2.3.5, v2.2.10 and v2.1.16. There are no known workarounds for this vulnerability.
The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.
An attacker operating through a network path may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-330: Use of Insufficiently Random Values. The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 27 Jun 2022 · Last source change 23 Apr 2025, 18:08 UTC · CWE-330 · Use of Insufficiently Random Values
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.