CVE-2022-29201 Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow

2022-05-2023:00:15

CWE-476

CWE-20

GitHub_M

www.cve.org

cve-2022-29201

tensorflow

machine learning

validation

input arguments

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.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. 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"
      }
    ]
  }
]