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GSA_kwCzR0hTQS05djh3LXhtcjQtd2d4cM4AAu2m

Moderate EPSS: 0.00202% (0.42627 Percentile) EPSS:

TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`

Affected Packages Affected Versions Fixed Versions
pypi:tensorflow-gpu
PURL: pkg:pypi/tensorflow-gpu
>= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2 2.9.1, 2.8.1, 2.7.2
155 Dependent packages
11,499 Dependent repositories
78,758 Downloads last month

Affected Version Ranges

All affected versions

0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.9.0, 1.10.0, 1.10.1, 1.11.0, 1.12.0, 1.12.2, 1.12.3, 1.13.1, 1.13.2, 1.14.0, 1.15.0, 1.15.2, 1.15.3, 1.15.4, 1.15.5, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.7.0, 2.7.1, 2.8.0, 2.9.0

All unaffected versions

2.7.2, 2.7.3, 2.7.4, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.1, 2.9.2, 2.9.3, 2.10.0, 2.10.1, 2.11.0, 2.12.0

pypi:tensorflow-cpu
PURL: pkg:pypi/tensorflow-cpu
>= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2 2.9.1, 2.8.1, 2.7.2
88 Dependent packages
2,483 Dependent repositories
909,001 Downloads last month

Affected Version Ranges

All affected versions

1.15.0, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.7.0, 2.7.1, 2.8.0, 2.9.0

All unaffected versions

2.7.2, 2.7.3, 2.7.4, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.1, 2.9.2, 2.9.3, 2.10.0, 2.10.1, 2.11.0, 2.11.1, 2.12.0, 2.12.1, 2.13.0, 2.13.1, 2.14.0, 2.14.1, 2.15.0, 2.15.1, 2.16.1, 2.16.2, 2.17.0, 2.17.1, 2.18.0, 2.18.1, 2.19.0, 2.19.1, 2.20.0

pypi:tensorflow
PURL: pkg:pypi/tensorflow
>= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2 2.9.1, 2.8.1, 2.7.2
2,172 Dependent packages
73,755 Dependent repositories
21,825,433 Downloads last month

Affected Version Ranges

All affected versions

0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.9.0, 1.10.0, 1.10.1, 1.11.0, 1.12.0, 1.12.2, 1.12.3, 1.13.1, 1.13.2, 1.14.0, 1.15.0, 1.15.2, 1.15.3, 1.15.4, 1.15.5, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.7.0, 2.7.1, 2.8.0, 2.9.0

All unaffected versions

2.7.2, 2.7.3, 2.7.4, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.1, 2.9.2, 2.9.3, 2.10.0, 2.10.1, 2.11.0, 2.11.1, 2.12.0, 2.12.1, 2.13.0, 2.13.1, 2.14.0, 2.14.1, 2.15.0, 2.15.1, 2.16.1, 2.16.2, 2.17.0, 2.17.1, 2.18.0, 2.18.1, 2.19.0, 2.19.1

Impact

When TensorListFromTensor receives an element_shape of a rank greater than one, it gives a CHECK fail that can trigger a denial of service attack.

import tensorflow as tf
arg_0=tf.random.uniform(shape=(6, 6, 2), dtype=tf.bfloat16, maxval=None)
arg_1=tf.random.uniform(shape=(6, 9, 1, 3), dtype=tf.int64, maxval=65536)
arg_2=''
tf.raw_ops.TensorListFromTensor(tensor=arg_0, element_shape=arg_1, name=arg_2)

Patches

We have patched the issue in GitHub commit 3db59a042a38f4338aa207922fa2f476e000a6ee.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.

References: