BDU:2019-01157
Scores
EPSS
Percentile: 0.0%
CVSS
CVSS Score: 9.8/10
All CVSS Scores
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Vector Breakdown
CVSS (Common Vulnerability Scoring System) vector provides detailed metrics about vulnerability characteristics
CVSS
Attack Vector
Network (N)
Describes how the vulnerability is exploited
Attack Complexity
Low (L)
Describes the conditions beyond the attacker's control
Privileges Required
None (N)
Describes the level of privileges an attacker must possess
User Interaction
None (N)
Captures the requirement for a human user participation
Scope
Unchanged (U)
Determines if a successful attack impacts components beyond the vulnerable component
Confidentiality Impact
High (H)
Measures the impact to the confidentiality of information
Integrity Impact
High (H)
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
High (H)
Measures the impact to the availability of the impacted component
Vector: AV:N/AC:L/Au:N/C:C/I:C/A:C
Vector Breakdown
CVSS (Common Vulnerability Scoring System) vector provides detailed metrics about vulnerability characteristics
CVSS
Attack Vector
Network (N)
Describes how the vulnerability is exploited
Attack Complexity
Low (L)
Describes the conditions beyond the attacker's control
Authentication
None (N)
Describes the level of privileges an attacker must possess
Confidentiality Impact
Complete
Measures the impact to the confidentiality of information
Integrity Impact
Complete
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
Complete
Measures the impact to the availability of the impacted component
Description
Уязвимость модуля NumPy для Python связана с восстановлением в памяти недостоверной структуры данных. Эксплуатация уязвимости может позволить нарушителю, действующему удалённо, выполнить произвольный код
Scaner-VS 7 — a modern vulnerability management solution
Sources
Related Vulnerabilities
Exploits
Recommendations
Source: bdu
Установить значение ‘False’ для параметра ‘allow_pickle’ в функции ‘numpy.load’, если пользователь не уверен в безопасности загружаемых данных
Использование рекомендаций производителя:
https://github.com/numpy/numpy/pull/13359
https://github.com/numpy/numpy/issues/12759
https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb
Vulnerable Software (1)
Type: Configuration
Vendor: сообщество свободного программного обеспечения
Product: numpy
Operating System: * *
{ "version_end_excluding": "1.16.0", "version_start_including": "1.10"}
Source: bdu