Safety vulnerability ID: 41166
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow version 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37690:
In affected versions when running shape functions, some functions (such as 'MutableHashTableShape') produce extra output information in the form of a 'ShapeAndType' struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. 'ShapeRefiner' is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but the Tensorflow team was not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. The Tensorflow team has patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3hxh-8cp2-g4hg
https://github.com/tensorflow/tensorflow/commit/ee119d4a498979525046fba1c3dd3f13a039fbb1
Latest version: 2.16.1
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. `ShapeRefiner` is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but we were not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. We have patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. See CVE-2021-37690.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3hxh-8cp2-g4hg: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3hxh-8cp2-g4hg
MISC:https://github.com/tensorflow/tensorflow/commit/ee119d4a498979525046fba1c3dd3f13a039fbb1: https://github.com/tensorflow/tensorflow/commit/ee119d4a498979525046fba1c3dd3f13a039fbb1
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