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/tensorflow
to version 2.3.3, 2.4.2 or higher.
Affected versions of this package are vulnerable to Out-of-bounds Write. TensorFlow is an end-to-end open source platform for machine learning. If the splits
argument of RaggedBincount
does not specify a valid SparseTensor
(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the splits
tensor buffer in the implementation of the RaggedBincount
op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446). Before the for
loop, batch_idx
is set to 0. The attacker sets splits(0)
to be 7, hence the while
loop does not execute and batch_idx
remains 0. This then results in writing to out(-1, bin)
, which is before the heap allocated buffer for the output tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.