PYSEC-2021-297

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2021-297.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2021-297
Aliases
Published
2021-08-12T22:15:00Z
Modified
2023-12-06T00:46:22.002951Z
Summary
[none]
Details

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 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.

References

Affected packages

PyPI / tensorflow

Package

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.4
Introduced
2.4.0
Fixed
2.4.3

Affected versions

2.*

2.3.0
2.3.1
2.3.2
2.3.3
2.4.0
2.4.1
2.4.2