Safety vulnerability ID: 40465
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2, and 2.5.0 include a fix for CVE-2021-29513: Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array (https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion.
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. See CVE-2021-29513.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7
MISC:https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489: https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489
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