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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Start learningUpgrade tensorflow-gpu
to version 2.3.1 or higher.
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to Improper Input Validation. 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 rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a CHECK
assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor.