CVE-2024-37164

HIGH EPSS 26.6%
Published Jun 13, 20242y ago · Modified Jun 17, 20262w ago
8.5 CVSS 3.1
High
Find Similar
Published Jun 13, 2024 2y ago
Last Modified Jun 17, 2026 2w ago

Description

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. CVAT allows users to supply custom endpoint URLs for cloud storages based on Amazon S3 and Azure Blob Storage. Starting in version 2.1.0 and prior to version 2.14.3, an attacker with a CVAT account can exploit this feature by specifying URLs whose host part is an intranet IP address or an internal domain name. By doing this, the attacker may be able to probe the network that the CVAT backend runs in for HTTP(S) servers. In addition, if there is a web server on this network that is sufficiently API-compatible with an Amazon S3 or Azure Blob Storage endpoint, and either allows anonymous access, or allows authentication with credentials that are known by the attacker, then the attacker may be able to create a cloud storage linked to this server. They may then be able to list files on the server; extract files from the server, if these files are of a type that CVAT supports reading from cloud storage (media data (such as images/videos/archives), importable annotations or datasets, task/project backups); and/or overwrite files on this server with exported annotations/datasets/backups. The exact capabilities of the attacker will depend on how the internal server is configured. Users should upgrade to CVAT 2.14.3 to receive a patch. In this release, the existing SSRF mitigation measures are applied to requests to cloud providers, with access to intranet IP addresses prohibited by default. Some workarounds are also available. One may use network security solutions such as virtual networks or firewalls to prohibit network access from the CVAT backend to unrelated servers on your internal network and/or require authentication for access to internal servers.

CVSS Details

Base Score
8.5
Exploitability
3.1
Impact
4.7
Vector string
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:H/A:N
Attack Vector Network
Attack Complexity Low
Privileges Required Low
User Interaction None
Scope Changed
Confidentiality Low
Integrity High
Availability None

Threat Intelligence

EPSS Exploit Probability
26.6% percentile
Exploit & Patch Status
No Known Exploit
Patch Available

Weaknesses 1

CWE-918 Server-Side Request Forgery (SSRF) Validation

Affected Products 1

VendorProductVersionRange
cvatcomputer_vision_annotation_tool*≥2.1.0  –  <2.14.3

References 2

  • github.com https://github.com/cvat-ai/cvat/commit/f2346934c80bd91740f55c2788ef7d535a291d4c
    Patch
  • github.com https://github.com/cvat-ai/cvat/security/advisories/GHSA-q684-4jjh-83g6
    PatchVendor Advisory

Remediation

  • github.com https://github.com/cvat-ai/cvat/commit/f2346934c80bd91740f55c2788ef7d535a291d4c
    Patch
  • github.com https://github.com/cvat-ai/cvat/security/advisories/GHSA-q684-4jjh-83g6
    PatchVendor Advisory