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CVE-2021-37683

MEDIUM

5.5

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

CVE Details

CVSS v3.1 Score5.5

SeverityMEDIUM

CVSS VectorCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Attack VectorLOCAL

ComplexityLOW

Privileges RequiredLOW

User InteractionNONE

Published8/12/2021

Last Modified11/21/2024

Sourcenvd

Honeypot Sightings0

Affected Products

google:tensorflow

Weaknesses (CWE)

CWE-369CWE-369

References

https://github.com/tensorflow/tensorflow/commit/1e206baedf8bef0334cca3eb92bab134ef525a28(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rhrq-64mq-hf9h(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/1e206baedf8bef0334cca3eb92bab134ef525a28(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rhrq-64mq-hf9h(af854a3a-2127-422b-91ae-364da2661108)

IOC Correlations

No correlations recorded

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