First published: Thu Feb 03 2022(Updated: )
### Impact The [implementation of `SparseCountSparseOutput`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273) is vulnerable to a heap overflow: ```python import tensorflow as tf import numpy as np tf.raw_ops.SparseCountSparseOutput( indices=[[-1,-1]], values=[2], dense_shape=[1, 1], weights=[1], binary_output=True, minlength=-1, maxlength=-1, name=None) ``` ### Patches We have patched the issue in GitHub commits [2b7100d6cdff36aa21010a82269bc05a6d1cc74a](https://github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a) and [adbbabdb0d3abb3cdeac69e38a96de1d678b24b3](https://github.com/tensorflow/tensorflow/commit/adbbabdb0d3abb3cdeac69e38a96de1d678b24b3). 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 Faysal Hossain Shezan from University of Virginia.
Credit: security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How 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 |
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CVE-2022-21740 has a high severity rating due to the potential for a heap overflow vulnerability in TensorFlow.
To fix CVE-2022-21740, upgrade TensorFlow to version 2.7.1 or later, or to 2.6.3 if using versions between 2.6.0 and 2.6.2.
CVE-2022-21740 affects TensorFlow versions up to 2.5.2, as well as the 2.6.0 to 2.6.2 range and version 2.7.0.
CVE-2022-21740 can impact applications by allowing attackers to exploit the heap overflow, potentially leading to arbitrary code execution.
If you cannot immediately upgrade due to dependencies, consider applying appropriate mitigations such as restricting access and monitoring for anomalous behavior.