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CVE-2021-37675

MEDIUM
5.5

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. 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-369

IOC Correlations

No correlations recorded

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