PYSEC-2020-124

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2020-124.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2020-124
Aliases
Published
2020-09-25T19:15:00Z
Modified
2023-12-06T01:00:16.699897Z
Summary
[none]
Details

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Hence, the code is prone to heap buffer overflow. If split_values does not end with a value at least num_values then the while loop condition will trigger a read outside of the bounds of split_values once batch_idx grows too large. 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
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
3cbb917b4714766030b28eba9fb41bb97ce9ee02
Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.3.1

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