PYSEC-2021-563

See a problem?
Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2021-563.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2021-563
Aliases
Published
2021-08-12T21:15:00Z
Modified
2023-12-06T00:46:20.504347Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. 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-cpu

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