Safety vulnerability ID: 57991
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm 2.3.1 includes a fix for CVE-2020-15198: In Tensorflow before version 2.3.1, the "SparseCountSparseOutput" implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the "indices" tensor has the same shape as the "values" one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue was patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3
Latest version: 2.14.0.600
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