PYSEC-2021-445

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2021-445.yaml
JSON Data
https://api.test.osv.dev/v1/vulns/PYSEC-2021-445
Aliases
Published
2021-05-14T20:15:00Z
Modified
2023-12-06T00:46:01.980202Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in Conv3D implementation. The implementation(https://github.com/tensorflow/tensorflow/blob/42033603003965bffac51ae171b51801565e002d/tensorflow/core/kernels/convops3d.cc#L143-L145) does a modulo operation based on user controlled input. Thus, when filter has a 0 as the fifth element, this results in a division by 0. Additionally, if the shape of the two tensors is not valid, an Eigen assertion can be triggered, resulting in a program crash. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

References

Affected packages

PyPI / tensorflow-cpu

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
0Unknown introduced version / All previous versions are affected
Fixed
2.1.4
Introduced
2.2.0
Fixed
2.2.3
Introduced
2.3.0
Fixed
2.3.3
Introduced
2.4.0
Fixed
2.4.2

Affected versions

1.*

1.15.0

2.*

2.1.0
2.1.1
2.1.2
2.1.3
2.2.0
2.2.1
2.2.2
2.3.0
2.3.1
2.3.2
2.4.0
2.4.1