Описание
** 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.
| Релиз | Статус | Примечание |
|---|---|---|
| bionic | ignored | end of standard support, was needed |
| cosmic | ignored | end of life |
| devel | DNE | |
| disco | ignored | end of life |
| eoan | ignored | end of life |
| esm-apps/focal | not-affected | disputed |
| esm-infra-legacy/trusty | DNE | trusty/esm was DNE [trusty was needed] |
| esm-infra/bionic | not-affected | disputed |
| esm-infra/xenial | not-affected | disputed |
| focal | not-affected | disputed |
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Ссылки на источники
7.5 High
CVSS2
9.8 Critical
CVSS3
Связанные уязвимости
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 ...
7.5 High
CVSS2
9.8 Critical
CVSS3