PYSEC-2022-132
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-132.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2022-132
- Aliases
- Published
- 2022-02-03T12:15:00Z
- Modified
- 2023-12-06T00:46:58.220444Z
- Summary
- [none]
- Details
-
Tensorflow is an Open Source Machine Learning Framework. The implementation of
AddManySparseToTensorsMapis vulnerable to an integer overflow which results in aCHECK-fail when building newTensorShapeobjects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a largeTensorShapewith user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. - References
-
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2
- https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c
- https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8
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
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixedFixed
- Type
- ECOSYSTEM
- Events
-
Introduced0Unknown introduced version / All previous versions are affectedFixed2.5.3Introduced2.6.0Fixed2.6.3
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