PYSEC-2021-223

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2021-223.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2021-223
Aliases
Published
2021-05-14T20:15:00Z
Modified
2023-12-06T01:01:07.688406Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling ComputePaddingHeightWidth(https://github.com/tensorflow/tensorflow/blob/3f24ccd932546416ec906a02ddd183b48a1d2c83/tensorflow/lite/kernels/pooling.cc#L90). Since users can craft special models which will have params->stride_{height,width} be zero, this will result in a division by zero. 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

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

0.*

0.12.0rc0
0.12.0rc1
0.12.0
0.12.1

1.*

1.0.0
1.0.1
1.1.0rc0
1.1.0rc1
1.1.0rc2
1.1.0
1.2.0rc0
1.2.0rc1
1.2.0rc2
1.2.0
1.2.1
1.3.0rc0
1.3.0rc1
1.3.0rc2
1.3.0
1.4.0rc0
1.4.0rc1
1.4.0
1.4.1
1.5.0rc0
1.5.0rc1
1.5.0
1.5.1
1.6.0rc0
1.6.0rc1
1.6.0
1.7.0rc0
1.7.0rc1
1.7.0
1.7.1
1.8.0rc0
1.8.0rc1
1.8.0
1.9.0rc0
1.9.0rc1
1.9.0rc2
1.9.0
1.10.0rc0
1.10.0rc1
1.10.0
1.10.1
1.11.0rc0
1.11.0rc1
1.11.0rc2
1.11.0
1.12.0rc0
1.12.0rc1
1.12.0rc2
1.12.0
1.12.2
1.12.3
1.13.0rc0
1.13.0rc1
1.13.0rc2
1.13.1
1.13.2
1.14.0rc0
1.14.0rc1
1.14.0
1.15.0rc0
1.15.0rc1
1.15.0rc2
1.15.0rc3
1.15.0
1.15.2
1.15.3
1.15.4
1.15.5

2.*

2.0.0a0
2.0.0b0
2.0.0b1
2.0.0rc0
2.0.0rc1
2.0.0rc2
2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.1.0rc0
2.1.0rc1
2.1.0rc2
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