CVE-2021-29544

Published May 14, 2021

Last updated 15 days ago

Overview

Description: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`. However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
Source: security-advisories@github.com
NVD status: Modified

Hype score: Not currently trending

Risk scores

CVSS 3.1

Type: Primary
Base score: 5.5
Impact score: 3.6
Exploitability score: 1.8
Vector string: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Severity: MEDIUM

CVSS 2.0

Type: Primary
Base score: 2.1
Impact score: 2.9
Exploitability score: 3.9
Vector string: AV:L/AC:L/Au:N/C:N/I:N/A:P

Weaknesses

security-advisories@github.com: CWE-754

Configurations

[
  {
    "nodes": [
      {
        "negate": false,
        "cpeMatch": [
          {
            "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
            "vulnerable": true,
            "matchCriteriaId": "8259531B-A8AC-4F8B-B60F-B69DE4767C03",
            "versionEndExcluding": "2.4.2",
            "versionStartIncluding": "2.4.0"
          }
        ],
        "operator": "OR"
      }
    ]
  }
]

Overview

Social media

Risk scores

CVSS 3.1

CVSS 2.0

Weaknesses

Configurations

References