CVE-2022-29212Improper Input Validation in Tensorflow

Severity
5.5MEDIUMNVD
EPSS
0.1%
top 75.50%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedMay 21
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, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Ve

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
Core dump when loading TFLite models with quantization in TensorFlow2022-05-24
OSV
Core dump when loading TFLite models with quantization in TensorFlow2022-05-24
CVEList
Core dump when loading TFLite models with quantization in TensorFlow2022-05-20

📋Vendor Advisories

1
Debian
CVE-2022-29212: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....2022
CVE-2022-29212 — Improper Input Validation | cvebase