Safety vulnerability ID: 41138
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-2021-37663:
In affected versions, due to incomplete validation in "tf.raw_ops.QuantizeV2", an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation (https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that "min_range" and "max_range" both have the same non-zero number of elements. If "axis" is provided (i.e., not "-1"), then validation should check that it is a value in range for the rank of "input" tensor and then the lengths of "min_range" and "max_range" inputs match the "axis" dimension of the "input" tensor. The Tensorflow team has patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g25h-jr74-qp5j
https://github.com/tensorflow/tensorflow/commit/6da6620efad397c85493b8f8667b821403516708
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 due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. 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-2021-37663.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g25h-jr74-qp5j: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g25h-jr74-qp5j
MISC:https://github.com/tensorflow/tensorflow/commit/6da6620efad397c85493b8f8667b821403516708: https://github.com/tensorflow/tensorflow/commit/6da6620efad397c85493b8f8667b821403516708
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