PYSEC-2020-121
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2020-121.yaml
- JSON Data
- https://api.test.osv.dev/v1/vulns/PYSEC-2020-121
- Aliases
- Published
- 2020-09-25T19:15:00Z
- Modified
- 2023-12-06T00:45:15.604193Z
- Summary
- [none]
- Details
-
In Tensorflow before version 2.3.1, the
SparseCountSparseOutputimplementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that theindicestensor has the same shape as thevaluesone. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. - References
Affected packages
PyPI / tensorflow
Package
- Name
- tensorflow
- View open source insights on deps.dev
- Purl
- pkg:pypi/tensorflow
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 affectedFixed2.3.1
Affected versions
0.*
0.12.0rc0
0.12.0rc1
0.12.0
0.12.1
1.*
1.0.0
1.0.1
1.1.0rc0
1.1.0rc1
1.1.0rc2
1.1.0
1.2.0rc0
1.2.0rc1
1.2.0rc2
1.2.0
1.2.1
1.3.0rc0
1.3.0rc1
1.3.0rc2
1.3.0
1.4.0rc0
1.4.0rc1
1.4.0
1.4.1
1.5.0rc0
1.5.0rc1
1.5.0
1.5.1
1.6.0rc0
1.6.0rc1
1.6.0
1.7.0rc0
1.7.0rc1
1.7.0
1.7.1
1.8.0rc0
1.8.0rc1
1.8.0
1.9.0rc0
1.9.0rc1
1.9.0rc2
1.9.0
1.10.0rc0
1.10.0rc1
1.10.0
1.10.1
1.11.0rc0
1.11.0rc1
1.11.0rc2
1.11.0
1.12.0rc0
1.12.0rc1
1.12.0rc2
1.12.0
1.12.2
1.12.3
1.13.0rc0
1.13.0rc1
1.13.0rc2
1.13.1
1.13.2
1.14.0rc0
1.14.0rc1
1.14.0
1.15.0rc0
1.15.0rc1
1.15.0rc2
1.15.0rc3
1.15.0
1.15.2
1.15.3
1.15.4
1.15.5
2.*
2.0.0a0
2.0.0b0
2.0.0b1
2.0.0rc0
2.0.0rc1
2.0.0rc2
2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.1.0rc0
2.1.0rc1
2.1.0rc2
2.1.0
2.1.1
2.1.2
2.1.3
2.1.4
2.2.0rc0
2.2.0rc1
2.2.0rc2
2.2.0rc3
2.2.0rc4
2.2.0
2.2.1
2.2.2
2.2.3
2.3.0rc0
2.3.0rc1
2.3.0rc2
2.3.0