Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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/tensorflow
to version 2.3.1 or higher.
Affected versions of this package are vulnerable to Improper Input Validation. In Tensorflow before version 2.3.1, the RaggedCountSparseOutput
does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits
tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since BatchedMap
is equivalent to a vector, it needs to have at least one element to not be nullptr
. If user passes a splits
tensor that is empty or has exactly one element, we get a SIGABRT
signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.