Описание
An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources
Ссылки
- Third Party AdvisoryVDB Entry
- ExploitIssue TrackingThird Party Advisory
- ExploitIssue TrackingThird Party Advisory
- Third Party AdvisoryVDB Entry
- ExploitIssue TrackingThird Party Advisory
- ExploitIssue TrackingThird Party Advisory
Уязвимые конфигурации
EPSS
9.8 Critical
CVSS3
7.5 High
CVSS2
Дефекты
Связанные уязвимости
** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.
An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources
An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickl ...
EPSS
9.8 Critical
CVSS3
7.5 High
CVSS2