Описание
Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)
Ссылки
- ExploitIssue TrackingPatchThird Party Advisory
- Third Party Advisory
- ExploitIssue TrackingPatchThird Party Advisory
- Third Party Advisory
Уязвимые конфигурации
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2
Дефекты
Связанные уязвимости
** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally).
Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)
Buffer overflow in the array_from_pyobj function of fortranobject.c in ...
Buffer Copy without Checking Size of Input in NumPy
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2