CVEvulnerability

CVE-2022-41900

9.8 CRITICAL Published 2022-11-18 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-11-18
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
7.1 HIGH — CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
CVSS 3.1 ([email protected])
9.8 CRITICAL — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weaknesses
CWE-125, CWE-787

Description

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

Affected configurations

• google tensorflow (< 2.8.4) • google tensorflow (>= 2.9.0 < 2.9.3) • google tensorflow 2.10.0

Related

Weakness · CWE (2)

  • CWE-125 Out-of-bounds Read weakness
  • CWE-787 Out-of-bounds Write weakness

References