PYSEC-2021-506

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2021-506.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2021-506
Aliases
Published
2021-05-14T20:15:00Z
Modified
2023-12-06T01:01:07.204505Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractionalavgpool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the out_backprop tensor shape. 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