The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applicationsUpgrade tensorflow-gpu
to version 2.3.1 or higher.
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The SparseCountSparseOutput
and RaggedCountSparseOutput
implementations don't validate that the weights
tensor has the same shape as the data. The check exists for DenseCountSparseOutput
, where both tensors are fully specified.In the sparse and ragged count weights are still accessed in parallel with the data.But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights.