CVEvulnerability

CVE-2021-41211

7.1 HIGH Published 2021-11-05 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-11-05
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
7.1 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
CVSS 3.1 ([email protected])
7.1 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
CVSS 2.0 ([email protected])
3.6 LOW — AV:L/AC:L/Au:N/C:P/I:N/A:P
Weaknesses
CWE-125

Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Affected configurations

• google tensorflow 2.6.0

Related

Weakness · CWE (1)

  • CWE-125 Out-of-bounds Read weakness

References