Safety vulnerability ID: 42448
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41201: In affected versions, during execution, 'EinsumHelper::ParseEquation()' is supposed to set the flags in 'input_has_ellipsis' vector and '*output_has_ellipsis' boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to 'true' and never assigns 'false'. This results in unitialized variable access if callers assume that 'EinsumHelper::ParseEquation()' always sets these flags. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm
https://github.com/tensorflow/tensorflow/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6
Latest version: 2.16.1
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. See CVE-2021-41201.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm
MISC:https://github.com/tensorflow/tensorflow/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6: https://github.com/tensorflow/tensorflow/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6
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