high
8.8
CWE
125 787
Advisory Published
Advisory Published
Updated

CVE-2022-23574: Out of bounds read and write in Tensorflow

First published: Fri Feb 04 2022(Updated: )

### Impact There is a typo in TensorFlow's [`SpecializeType`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102) which results in heap OOB read/write: ```cc for (int i = 0; i < op_def.output_arg_size(); i++) { // ... for (int j = 0; j < t->args_size(); j++) { auto* arg = t->mutable_args(i); // ... } } ``` Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. ### Patches We have patched the issue in GitHub commit [0657c83d08845cc434175934c642299de2c0f042](https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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.

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

Affected SoftwareAffected VersionHow to fix
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
TensorFlow Keras<=2.5.2
TensorFlow Keras>=2.6.0<=2.6.2
TensorFlow Keras=2.7.0

Remedy

https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042

Remedy

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2022-23574?

    CVE-2022-23574 has a medium severity rating due to its potential for heap out-of-bounds read/write vulnerabilities.

  • How do I fix CVE-2022-23574?

    To address CVE-2022-23574, upgrade to TensorFlow versions 2.5.3, 2.6.3, or 2.7.1 or later.

  • Which versions of TensorFlow are affected by CVE-2022-23574?

    TensorFlow versions prior to 2.5.3, 2.6.3 (from 2.6.0 to 2.6.2), and 2.7.0 are affected by CVE-2022-23574.

  • What type of vulnerability is CVE-2022-23574?

    CVE-2022-23574 is a heap out-of-bounds read/write vulnerability caused by a typo in TensorFlow's code.

  • Is CVE-2022-23574 related to TensorFlow's SpecializeType functionality?

    Yes, CVE-2022-23574 is directly related to a typo in TensorFlow's SpecializeType function.

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