CVEvulnerability

CVE-2022-35981

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. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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 (< 2.7.2) • 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