EPSS
Percentile
54.1%
numpy is vulnerable to denial of service (DoS) attacks. These attacks are possible because the numpy.pad function is missing some validation, allowing an empty list or a ndarray to cause an infinite loop.
numpy.pad
github.com/BT123
github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852
github.com/numpy/numpy/issues/9560
github.com/numpy/numpy/issues/9560#issuecomment-322395292
github.com/numpy/numpy/pull/9599