Safety vulnerability ID: 42463
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-2021-41216: In affected versions, the shape inference function for 'Transpose' is vulnerable to a heap buffer overflow. This occurs whenever 'perm' contains negative elements. The shape inference function does not validate that the indices in 'perm' are all valid. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9
https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14
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 the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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-2021-41216.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9
MISC:https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14: https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14
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