CVE-2022-29199 Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`

2022-05-2021:40:12

CWE-20

GitHub_M

www.cve.org

tensorflow

machine learning

denial of service

validation

patch

CVSS3

5.5

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

AI Score

Confidence

High

EPSS

0.001

Percentile

40.1%

JSON

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. The code assumes initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 2.6.4"
      },
      {
        "status": "affected",
        "version": ">= 2.7.0rc0, < 2.7.2"
      },
      {
        "status": "affected",
        "version": ">= 2.8.0rc0, < 2.8.1"
      },
      {
        "status": "affected",
        "version": ">= 2.9.0rc0, < 2.9.0"
      }
    ]
  }
]