CVEvulnerability

CVE-2022-21727

8.8 HIGH Published 2022-02-03 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-02-03
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
7.6 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
CVSS 3.1 ([email protected])
8.8 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0 ([email protected])
6.5 MEDIUM — AV:N/AC:L/Au:S/C:P/I:P/A:P
Weaknesses
CWE-190

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected configurations

• google tensorflow (<= 2.5.2) • google tensorflow (>= 2.6.0 <= 2.6.2) • google tensorflow 2.7.0

Related

Weakness · CWE (1)

  • CWE-190 Integer Overflow or Wraparound weakness

References