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 applicationsThere is no fixed version for torch
.
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration
Affected versions of this package are vulnerable to Reachable Assertion in the torch.linalg.lu()
function. In AOTAutograd
mode LU
decomposition can't accept slice operation and An attacker can cause the application to become unresponsive or crash if backend="aot_eager"
by providing specially crafted input.
Note:
The issue is not affecting compilers that are set with backend="eager"
.