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-cpu
to version 2.4.2, 2.3.3, 2.2.3, 2.1.4 or higher.
tensorflow-cpu is a machine learning framework.
Affected versions of this package are vulnerable to Out-of-Bounds. Incomplete validation in SparseAdd
results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of *_indices
matches the size of corresponding *_shape
. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation.