CVEvulnerability

CVE-2022-35940

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-190

Description

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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-190 Integer Overflow or Wraparound weakness

References