PYSEC-2022-105
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-105.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2022-105
- Aliases
- Published
- 2022-02-03T11:15:00Z
- Modified
- 2023-12-06T01:01:55.778972Z
- Summary
- [none]
- Details
-
Tensorflow is an Open Source Machine Learning Framework. The implementation of
Dequantizedoes not fully validate the value ofaxisand can result in heap OOB accesses. Theaxisargument can be-1(the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. 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-23hm-7w47-xw72
- https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153
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