CVE-2023-25661

Published Mar 27, 2023

Last updated 2 years ago

Overview

Description: TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
Source: security-advisories@github.com
NVD status: Analyzed

Hype score: Not currently trending

Risk scores

CVSS 3.1

Type: Primary
Base score: 6.5
Impact score: 3.6
Exploitability score: 2.8
Vector string: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Severity: MEDIUM

Weaknesses

nvd@nist.gov: NVD-CWE-noinfo
security-advisories@github.com: CWE-20

Configurations

[
  {
    "nodes": [
      {
        "negate": false,
        "cpeMatch": [
          {
            "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
            "vulnerable": true,
            "matchCriteriaId": "677029E5-422E-423C-9C8E-95A8483E51AE",
            "versionEndExcluding": "2.11.1"
          }
        ],
        "operator": "OR"
      }
    ]
  }
]

Overview

Social media

Risk scores

CVSS 3.1

Weaknesses

Configurations

References