Safety vulnerability ID: 58049
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm-enhanced 2.3.4 and 2.4.3 include a fix for CVE-2021-37675: In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation (https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modulo operations. The Tensorflow team has patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4.
Latest version: 2.4.3
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