CVEvulnerability

CVE-2022-35969

7.5 HIGH Published 2022-09-16 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-09-16
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.9 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
7.5 HIGH — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-617

Description

TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected configurations

• google tensorflow (>= 2.7.0 < 2.7.2) • google tensorflow (>= 2.8.0 < 2.8.1) • google tensorflow (>= 2.9.0 < 2.9.1) • google tensorflow 2.10

Related

Weakness · CWE (1)

  • CWE-617 Reachable Assertion weakness

References