linuxfoundation argo-cd CVE-2022-31034 in Linux Foundation and Argoproj Products
Published on June 27, 2022

Insecure entropy in argo-cd

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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.

Github Repository NVD

Vulnerability Analysis

CVE-2022-31034 is exploitable with network access, requires user interaction. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
NONE
User Interaction:
REQUIRED
Scope:
CHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

Use of Insufficiently Random Values

The software uses insufficiently random numbers or values in a security context that depends on unpredictable numbers. When software generates predictable values in a context requiring unpredictability, it may be possible for an attacker to guess the next value that will be generated, and use this guess to impersonate another user or access sensitive information.


Products Associated with CVE-2022-31034

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Affected Versions

argoproj argo-cd:

Exploit Probability

EPSS
0.42%
Percentile
61.40%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.