What is the CVSS score of CVE-2024-37306?

CVE-2024-37306 has a CVSS 3.1 base score of 7.1 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N. EPSS exploitation probability: 0.2%.

Is there a patch available for CVE-2024-37306?

Yes, a patch is available for CVE-2024-37306. Update the affected software to the latest version immediately.

Computer Vision Annotation Tool CVE-2024-37306

HIGH

Cross-Site Request Forgery (CSRF) (CWE-352)

2024-06-13 security-advisories@github.com

CSRF Computer Vision Annotation Tool

7.1

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.1 HIGH

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

Low

Availability

None

Lifecycle Timeline

CVE Published

Jun 13, 2024 - 15:15 nvd

HIGH 7.1

DescriptionNVD

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Starting in version 2.2.0 and prior to version 2.14.3, if an attacker can trick a logged-in CVAT user into visiting a malicious URL, they can initiate a dataset export or a backup from a project, task or job that the victim user has permission to export into a cloud storage that the victim user has access to. The name of the resulting file can be chosen by the attacker. This implies that the attacker can overwrite arbitrary files in any cloud storage that the victim can access and, if the attacker has read access to the cloud storage used in the attack, they can obtain media files, annotations, settings and other information from any projects, tasks or jobs that the victim has permission to export. Version 2.14.3 contains a fix for the issue. No known workarounds are available.

AnalysisAI

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 7.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Cross-Site Request Forgery (CSRF) vulnerability could allow attackers to trick authenticated users into performing unintended actions.

Technical ContextAI

This vulnerability is classified as Cross-Site Request Forgery (CSRF) (CWE-352), which allows attackers to trick authenticated users into performing unintended actions. Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Starting in version 2.2.0 and prior to version 2.14.3, if an attacker can trick a logged-in CVAT user into visiting a malicious URL, they can initiate a dataset export or a backup from a project, task or job that the victim user has permission to export into a cloud storage that the victim user has access to. The name of the resulting file can be chosen by the attacker. This implies that the attacker can overwrite arbitrary files in any cloud storage that the victim can access and, if the attacker has read access to the cloud storage used in the attack, they can obtain media files, annotations, settings and other information from any projects, tasks or jobs that the victim has permission to export. Version 2.14.3 contains a fix for the issue. No known workarounds are available. Affected products include: Cvat Computer Vision Annotation Tool. Version information: version 2.2.0.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Implement anti-CSRF tokens, validate Origin/Referer headers, use SameSite cookie attribute.