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osvGoogleOSV:GHSA-JHWX-MHWW-RGC3
HistoryMar 29, 2024 - 7:04 p.m.

ArgoCD's repo server has Uncontrolled Resource Consumption vulnerability

2024-03-2919:04:27
Google
osv.dev
14
argocd
resource consumption
denial-of-service
argocd repo-server
patch
vulnerability
argo team
responsible disclosure
jakub ciolek
memory error

6.5 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

6.8 Medium

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

15.7%

Impact

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, it’s 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 ArgoCD’s 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.

Patches

A patch for this vulnerability has been released in the following Argo CD versions:

v2.10.5
v2.9.10
v2.8.14

For more information

If you have any questions or comments about this advisory:

Open an issue in the Argo CD issue tracker or discussions
Join us on Slack in channel #argo-cd

Credits

This vulnerability was found & reported by Jakub Ciolek

The Argo team would like to thank these contributors for their responsible disclosure and constructive communications during the resolve of this issue

6.5 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

6.8 Medium

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

15.7%