PYSEC-2020-325

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2020-325.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2020-325
Aliases
Published
2020-09-25T19:15:00Z
Modified
2023-12-06T01:00:17.243369Z
Summary
[none]
Details

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

References

Affected packages

PyPI / tensorflow-gpu

Package

Name
tensorflow-gpu
View open source insights on deps.dev
Purl
pkg:pypi/tensorflow-gpu

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
d58c96946b2880991d63d1dacacb32f0a4dfa453
Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
1.15.4
Introduced
2.0.0
Fixed
2.0.3
Introduced
2.1.0
Fixed
2.1.2
Introduced
2.2.0
Fixed
2.2.1
Introduced
2.3.0
Fixed
2.3.1

Affected versions

0.*

0.12.0
0.12.1

1.*

1.0.0
1.0.1
1.1.0
1.2.0
1.2.1
1.3.0
1.4.0
1.4.1
1.5.0
1.5.1
1.6.0
1.7.0
1.7.1
1.8.0
1.9.0
1.10.0
1.10.1
1.11.0
1.12.0
1.12.2
1.12.3
1.13.1
1.13.2
1.14.0
1.15.0
1.15.2
1.15.3

2.*

2.0.0
2.0.1
2.0.2
2.1.0
2.1.1
2.2.0
2.3.0