PYSEC-2021-788

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2021-788.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2021-788
Aliases
Published
2021-08-12T23:15:00Z
Modified
2023-12-06T01:01:23.784073Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.raw_ops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation uses axis to select between two different values for minmax_rank which is then used to retrieve tensor dimensions. However, code assumes that axis can be either -1 or a value greater than -1, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

References

Affected packages

PyPI / tensorflow-gpu

Package

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.4
Introduced
2.4.0
Fixed
2.4.3

Affected versions

2.*

2.3.0
2.3.1
2.3.2
2.3.3
2.4.0
2.4.1
2.4.2