NumPy arbitrary code execution vulnerability
Blog post from Snyk
NumPy arbitrary code execution vulnerability allows for the execution of potentially malicious code due to a flaw in the Python pickle module used by NumPy's load function, which can be exploited without authentication or technical knowledge. The vulnerability is present in versions 1.10 through 1.16 and can be mitigated by setting allow_pickle=False when loading data from untrusted sources. Currently, no known instances of exploitation have been reported, but awareness of the issue is growing, prompting the NumPy team to work on a patch or upgrade.
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