CVEvulnerability

CVE-2022-23576

6.5 MEDIUM Published 2022-02-04 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-02-04
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
4.0 MEDIUM — AV:N/AC:L/Au:S/C:N/I:N/A:P
Weaknesses
CWE-190

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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