CVE-2022-31188

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    CVE-2022-31188

    Published: 1 Aug 2022Last Modified: 12 Aug 2026

    Summary: Server-Side Request Forgery Vulnerability in Computer Vision Annotation Tool (CVAT)

    Details: CVAT is an opensource interactive video and image annotation tool for computer vision. Versions prior to 2.0.0 were found to be subject to a Server-side request forgery (SSRF) vulnerability. Validation has been added to urls used in the affected code path in version 2.0.0. Users are advised to upgrade. There are no known workarounds for this issue.

    References: http://packetstormsecurity.com/files/169814/CVAT-2.0-Server-Side-Request-Forgery.html, https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/31xxx/CVE-2022-31188.json, https://github.com/cvat-ai/cvat/security/advisories/GHSA-7vpj-j5xv-29pr, https://nvd.nist.gov/vuln/detail/CVE-2022-31188, https://github.com/cvat-ai/cvat/commit/6fad1764efd922d99dbcda28c4ee72d071aa5a07

    Affected packages

    Package

    Name:

    Purl:

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -e33db5c2c2b3ee03a992f97b418e20cc026fa767

    Affected versions

    v1.7.0

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    CVE-2022-31188 | CVE-DB