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Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21741Division by zero in TFLite

Medium 6.5

In plain English

A medium-severity security flaw in the tensorflow package (PyPI). Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 58% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.8%top 42.3% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-428x-9xc2-m8mj
PyPItensorflow2.6.3GHSA-428x-9xc2-m8mj
PyPItensorflow2.7.1GHSA-428x-9xc2-m8mj
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3095
PyPItensorflow-cpu2.6.3GHSA-428x-9xc2-m8mj
PyPItensorflow-cpu2.7.1GHSA-428x-9xc2-m8mj
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-65
PyPItensorflow-cpu2.5.3GHSA-428x-9xc2-m8mj
PyPItensorflow-gpu2.7.1GHSA-428x-9xc2-m8mj
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-120
PyPItensorflow-gpu2.5.3GHSA-428x-9xc2-m8mj
PyPItensorflow-gpu2.6.3GHSA-428x-9xc2-m8mj

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

Weakness: CWE-369 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References