Safety vulnerability ID: 42445
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-2021-41198: In affected versions, if 'tf.tile' is called with a large input argument, then the TensorFlow process will crash due to a 'CHECK'-failure caused by an overflow. The number of elements in the output tensor is too much for the 'int64_t' type and the overflow is detected via a 'CHECK' statement. This aborts the process. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2021-41198.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q
MISC:https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f: https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f
MISC:https://github.com/tensorflow/tensorflow/issues/46911: https://github.com/tensorflow/tensorflow/issues/46911
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