PYSEC-2022-115
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-115.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2022-115
- Aliases
- Published
- 2022-02-03T12:15:00Z
- Modified
- 2023-12-06T00:46:54.535362Z
- Summary
- [none]
- Details
-
Tensorflow is an Open Source Machine Learning Framework. The implementation of
SparseTensorSliceDatasethas an undefined behavior: under certain condition it can be made to dereference anullptrvalue. The 3 input arguments toSparseTensorSliceDatasetrepresent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. 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/security/advisories/GHSA-pfjj-m3jj-9jc9
- https://github.com/tensorflow/tensorflow/commit/965b97e4a9650495cda5a8c210ef6684b4b9eceb
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L227-L292
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 affectedFixed
- 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