CVEvulnerability

CVE-2022-29205

5.5 MEDIUM Published 2022-05-20 Modified 2026-06-17 Official page ↗
Status
Modified
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-476, CWE-908

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, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Affected configurations

• google tensorflow (< 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-476 NULL Pointer Dereference weakness
  • CWE-908 Use of Uninitialized Resource weakness

References