CVE Vulnerabilities

CVE-2024-29893

Uncontrolled Resource Consumption

Published: Mar 29, 2024 | Modified: Apr 01, 2024
CVSS 3.x
N/A
Source:
NVD
CVSS 2.x
RedHat/V2
RedHat/V3
6.5 MODERATE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Ubuntu

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. All versions of ArgoCD starting from v2.4 have a bug where the ArgoCD repo-server component is vulnerable to a Denial-of-Service attack vector. Specifically, its possible to crash the repo server component through an out of memory error by pointing it to a malicious Helm registry. The loadRepoIndex() function in the ArgoCDs helm package, does not limit the size nor time while fetching the data. It fetches it and creates a byte slice from the retrieved data in one go. If the registry is implemented to push data continuously, the repo server will keep allocating memory until it runs out of it. A patch for this vulnerability has been released in v2.10.3, v2.9.8, and v2.8.12.

Weakness

The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

Affected Software

Name Vendor Start Version End Version
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/argocd-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/argo-rollouts-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/console-plugin-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/dex-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/gitops-operator-bundle:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/gitops-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/gitops-rhel8-operator:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/kam-delivery-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.10 RedHat openshift-gitops-1/must-gather-rhel8:v1.10.4-1 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/argocd-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/argo-rollouts-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/console-plugin-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/dex-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/gitops-operator-bundle:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/gitops-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/gitops-rhel8-operator:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/kam-delivery-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.11 RedHat openshift-gitops-1/must-gather-rhel8:v1.11.3-2 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-argocd-cli-0:1.12.1-5.el8 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/argocd-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/argo-rollouts-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/console-plugin-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/dex-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/gitops-operator-bundle:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/gitops-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/gitops-rhel8-operator:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/kam-delivery-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 RedHat openshift-gitops-1/must-gather-rhel8:v1.12.1-1 *
Red Hat OpenShift GitOps 1.12 - RHEL 9 RedHat microshift-gitops-0:1.12.1-4.el9 *
Red Hat OpenShift GitOps 1.12 - RHEL 9 RedHat openshift-gitops-argocd-cli-0:1.12.1-4.el9 *
Red Hat OpenShift GitOps 1.12 - RHEL 9 RedHat openshift-gitops-argocd-rhel9-container-v1.12.1-2 *

Extended Description

Limited resources include memory, file system storage, database connection pool entries, and CPU. If an attacker can trigger the allocation of these limited resources, but the number or size of the resources is not controlled, then the attacker could cause a denial of service that consumes all available resources. This would prevent valid users from accessing the product, and it could potentially have an impact on the surrounding environment. For example, a memory exhaustion attack against an application could slow down the application as well as its host operating system. There are at least three distinct scenarios which can commonly lead to resource exhaustion:

Resource exhaustion problems are often result due to an incorrect implementation of the following situations:

Potential Mitigations

  • Mitigation of resource exhaustion attacks requires that the target system either:

  • The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.

  • The second solution is simply difficult to effectively institute – and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.

References