CVEvulnerability

CVE-2022-29204

5.5 MEDIUM Published 2022-05-20 Modified 2026-06-17 Official page ↗
Status
Analyzed
Published
2022-05-20
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
Weaknesses
CWE-191, CWE-20

Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Affected configurations

• google tensorflow (>= 1.15.0 < 2.6.4) • google tensorflow (>= 2.7.0 < 2.7.2) • google tensorflow 2.7.0 • google tensorflow 2.8.0 • google tensorflow 2.9.0

Related

Weakness · CWE (2)

  • CWE-191 Integer Underflow (Wrap or Wraparound) weakness
  • CWE-20 Improper Input Validation weakness

References