CVEvulnerability

CVE-2022-35966

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 `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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