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.
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsLearn about Deserialization of Untrusted Data vulnerabilities in an interactive lesson.
Start learningUpgrade Debian:unstable
pytorch
to version 2.6.0+dfsg-1 or higher.
Note: Versions mentioned in the description apply only to the upstream pytorch
package and not the pytorch
package as distributed by Debian
.
See How to fix?
for Debian:unstable
relevant fixed versions and status.
PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.