PYSEC-2022-136

See a problem?
Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-136.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2022-136
Aliases
Published
2022-02-04T23:15:00Z
Modified
2023-12-06T00:46:58.465747Z
Summary
[none]
Details

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the ValueOrDie line. This results in an assertion failure as ret contains an error Status, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

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
cb164786dc891ea11d3a900e90367c339305dc7b
Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.5.3
Introduced
2.6.0
Fixed
2.6.3

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
1.15.4
1.15.5

2.*

2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.1.0
2.1.1
2.1.2
2.1.3
2.1.4
2.2.0
2.2.1
2.2.2
2.2.3
2.3.0
2.3.1
2.3.2
2.3.3
2.3.4
2.4.0
2.4.1
2.4.2
2.4.3
2.4.4
2.5.0
2.5.1
2.5.2
2.6.0
2.6.1
2.6.2