CVEvulnerability

CVE-2022-35974

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-20

Description

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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-20 Improper Input Validation weakness

References