First published: Fri Nov 18 2022(Updated: )
TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Credit: security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Google TensorFlow | <2.8.4 | |
Google TensorFlow | >=2.9.0<2.9.3 | |
Google TensorFlow | =2.10.0 |
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The vulnerability ID is CVE-2022-41911.
The severity of CVE-2022-41911 is high.
Google TensorFlow versions up to 2.8.4, versions from 2.9.0 to 2.9.3, and version 2.10.0 are affected by CVE-2022-41911.
The CWE ID associated with CVE-2022-41911 is CWE-704.
Sure, here are some references for CVE-2022-41911: [GitHub Link 1](https://github.com/tensorflow/tensorflow/blob/807cae8a807960fd7ac2313cde73a11fc15e7942/tensorflow/core/framework/tensor.cc#L1200-L1227), [GitHub Link 2](https://github.com/tensorflow/tensorflow/commit/1be743703279782a357adbf9b77dcb994fe8b508), [Security Advisory](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pf36-r9c6-h97j).