PYSEC-2021-780

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2021-780.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2021-780
Aliases
Published
2021-08-12T23:15:00Z
Modified
2023-12-06T01:01:23.301167Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.NonMaxSuppressionV5 by triggering a division by 0. The implementation uses a user controlled argument to resize a std::vector. However, as std::vector::resize takes the size argument as a size_t and output_size is an int, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in CombinedNonMaxSuppression. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. 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
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