Safety vulnerability ID: 57661
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Affected versions of Tensorflow-rocm allow tensors to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an 'int64_t'. If an overflow occurs, 'MultiplyWithoutOverflow' would return a negative result. In the majority of TensorFlow codebase this then results in a 'CHECK'-failure. Newer constructs exist which return a 'Status' instead of crashing the binary. This is a similar issue to CVE-2021-29584.
Latest version: 2.14.0.600
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