CVE-2022-29201Improper Input Validation in Tensorflow

Severity
5.5MEDIUMNVD
EPSS
0.0%
top 86.66%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedMay 20
Latest updateMay 24

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.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

CVSS vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitability: 1.8 | Impact: 3.6

Affected Packages3 packages

NVDgoogle/tensorflow2.7.02.7.2+4
CVEListV5tensorflow/tensorflow< 2.6.4+3
PyPIintel/optimization_for_tensorflow2.7.02.7.2+2

Patches

🔴Vulnerability Details

3
GHSA
Missing validation results in undefined behavior in `QuantizedConv2D`2022-05-24
OSV
Missing validation results in undefined behavior in `QuantizedConv2D`2022-05-24
CVEList
Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow2022-05-20

📋Vendor Advisories

1
Debian
CVE-2022-29201: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....2022
CVE-2022-29201 — Improper Input Validation | cvebase