Vulnerabilities > CVE-2023-40029 - Information Exposure Through Log Files vulnerability in Argoproj Argo CD

047910
CVSS 9.6 - CRITICAL
Attack vector
NETWORK
Attack complexity
LOW
Privileges required
LOW
Confidentiality impact
HIGH
Integrity impact
HIGH
Availability impact
NONE
network
low complexity
argoproj
CWE-532
critical
NVD
Published: 2023-09-07
Updated: 2024-11-21

Summary

Argo CD is a declarative continuous deployment for Kubernetes. Argo CD Cluster secrets might be managed declaratively using Argo CD / kubectl apply. As a result, the full secret body is stored in`kubectl.kubernetes.io/last-applied-configuration` annotation. pull request #7139 introduced the ability to manage cluster labels and annotations. Since clusters are stored as secrets it also exposes the `kubectl.kubernetes.io/last-applied-configuration` annotation which includes full secret body. In order to view the cluster annotations via the Argo CD API, the user must have `clusters, get` RBAC access. **Note:** In many cases, cluster secrets do not contain any actually-secret information. But sometimes, as in bearer-token auth, the contents might be very sensitive. The bug has been patched in versions 2.8.3, 2.7.14, and 2.6.15. Users are advised to upgrade. Users unable to upgrade should update/deploy cluster secret with `server-side-apply` flag which does not use or rely on `kubectl.kubernetes.io/last-applied-configuration` annotation. Note: annotation for existing secrets will require manual removal.

Vulnerable Configurations

Part Description Count
Application
Argoproj
149

Common Weakness Enumeration (CWE)

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Fuzzing and observing application log data/errors for application mapping
    An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. Fuzzing techniques involve sending random or malformed messages to a target and monitoring the target's response. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash. By observing logs and error messages, the attacker can learn details about the configuration of the target application and might be able to cause the target to disclose sensitive information.

References