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Computer Vision Annotation Tool CVE-2024-37306

HIGH
Cross-Site Request Forgery (CSRF) (CWE-352)
2024-06-13 security-advisories@github.com
7.1
CVSS 3.1 · NVD
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Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V3 - Web Frontend Security Anti-CSRF tokens, SameSite cookies
MITRE ATT&CK

1 technique across 1 tactic: Initial Access

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Impact

CVSS score of 7.1 (HIGH). Attack characteristics: network attack vector, low complexity, no privileges required, user interaction required.

Exploit ScenarioDerived

A remote attacker could trick authenticated users into performing unintended actions by sending crafted requests to the affected application. No authentication is required to exploit this vulnerability.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.2% exploitation probability (EPSS)

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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.

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.

Affects your stack

Find out whether the stacks and servers you run are on an affected version.

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

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.

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  • Exploit and PoC references, threat intelligence from 22 sources

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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

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
Low
Availability
None

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.

Threat Intelligence Overview

EPSS Score
0.2%
Top 89% exploitable
Data Quality
3 sources
Confidence: Low

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.2%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
No
Human Impact· derived
Medium

Priority Score

36
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +36
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Cross-Site Request Forgery exploits the automatic credential inclusion behavior of web browsers.

Affected Products (CPE)NVD

cpe:2.3:a:cvat:computer_vision_annotation_tool:*:*:*:*:*:*:*:*
CVE-2021-44228 CRITICAL POC
10.0 Dec 10

Apache Log4j2 contains a critical JNDI injection vulnerability known as 'Log4Shell' that allows unauthenticated remote c

CVE-2022-31188 CRITICAL POC
9.8 Aug 01

CVAT is an opensource interactive video and image annotation tool for computer vision. Rated critical severity (CVSS 9.8

CVE-2026-23526 HIGH
8.8 Jan 21

CVAT is an open source interactive video and image annotation tool for computer vision. [CVSS 8.8 HIGH]

CVE-2024-37164 HIGH
8.5 Jun 13

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high

CVE-2025-49135 MEDIUM
6.5 Jun 25

CVAT is an open source interactive video and image annotation tool for computer vision. Versions 2.2.0 through 2.39.0 ha

CVE-2024-45393 MEDIUM
6.4 Sep 10

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medi

CVE-2024-47064 MEDIUM
6.3 Sep 30

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medi

CVE-2024-47063 MEDIUM
6.2 Sep 30

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medi

CVE-2026-23516 MEDIUM
5.4 Jan 21

CVAT is an open source interactive video and image annotation tool for computer vision. [CVSS 5.4 MEDIUM]

CVE-2024-47172 MEDIUM
5.4 Sep 30

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medi

CVE-2025-68430 MEDIUM
5.3 Dec 19

Directory listing disclosure in CVAT (Computer Vision Annotation Tool) versions 2.8.1 through 2.52.0 allows an authentic

CVE-2025-48381 MEDIUM
5.3 May 30

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medi

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