medium
6.5
CWE
770 400
Advisory Published
Advisory Published
Updated

CVE-2022-21732: Memory exhaustion in Tensorflow

First published: Thu Feb 03 2022(Updated: )

### Impact The [implementation of `ThreadPoolHandle`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135) can be used to trigger a denial of service attack by allocating too much memory: ```python import tensorflow as tf y = tf.raw_ops.ThreadPoolHandle(num_threads=0x60000000,display_name='tf') ``` This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. ### Patches We have patched the issue in GitHub commit [e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e](https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team.

Credit: security-advisories@github.com security-advisories@github.com

Affected SoftwareAffected VersionHow to fix
Google TensorFlow<=2.5.2
Google TensorFlow>=2.6.0<=2.6.2
Google TensorFlow=2.7.0
pip/tensorflow-gpu=2.7.0
2.7.1
pip/tensorflow-gpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-gpu<2.5.3
2.5.3
pip/tensorflow-cpu=2.7.0
2.7.1
pip/tensorflow-cpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-cpu<2.5.3
2.5.3
pip/tensorflow=2.7.0
2.7.1
pip/tensorflow>=2.6.0<2.6.3
2.6.3
pip/tensorflow<2.5.3
2.5.3

Remedy

https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e

Remedy

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2022-21732?

    CVE-2022-21732 has been classified as a denial of service vulnerability.

  • How do I fix CVE-2022-21732?

    To fix CVE-2022-21732, upgrade to TensorFlow version 2.7.1 or above.

  • Which versions of TensorFlow are affected by CVE-2022-21732?

    CVE-2022-21732 affects TensorFlow versions up to 2.7.0 and between 2.6.0 and 2.6.2.

  • What type of attack does CVE-2022-21732 allow?

    CVE-2022-21732 can be exploited to execute a denial of service attack by allocating excessive resources.

  • Where can I find more information about CVE-2022-21732?

    Detailed information regarding CVE-2022-21732 can be obtained from the TensorFlow GitHub repository and security advisories.

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