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 picklescan
to version 0.0.23 or higher.
picklescan is a Security scanner detecting Python Pickle files performing suspicious actions
Affected versions of this package are vulnerable to Insufficient Verification of Data Authenticity due to improper handling of modified ZIP
file flag bits. Attackers can exploit this by altering specific bits in the ZIP
file headers within PyTorch model archives, embedding malicious pickle files that remain undetected by PickleScan while still being successfully loaded by PyTorch's torch.load()
.