Vulnerability Monitor

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CVE-2022-29207

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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Published

2022-05-20T22:16:40.997

Last Modified

2024-11-21T06:58:43.037

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.5 (MEDIUM)

CVSSv2 Vector

AV:L/AC:L/Au:N/C:N/I:N/A:P

  • Access Vector: LOCAL
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: PARTIAL
Exploitability Score

3.9

Impact Score

2.9

Weaknesses
  • Type: Primary
    CWE-20
    CWE-475
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.6.4 Yes
Application google tensorflow < 2.7.2 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.9.0 Yes
Application google tensorflow 2.9.0 Yes
References