CVE-2022-29196 Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

2022-05-2021:55:12

CWE-20

GitHub_M

www.cve.org

cve-2022-29196

missing validation

tensorflow

conv3dbackpropfilterv2

denial of service

machine learning

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

41.4%

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.Conv3DBackpropFilterV2 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 does not validate that the filter_sizes argument is a vector. 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"
      }
    ]
  }
]