Safety vulnerability ID: 57759
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41219: In affected versions, the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to 'nullptr'. This occurs whenever the dimensions of 'a' or 'b' are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, it should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x
https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae
Latest version: 2.14.0.600
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