CVE-2019-6446
Scores
EPSS
Percentile: 71.5%
CVSS
CVSS Score: 8.8/10
All CVSS Scores
Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:R/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
Required (R)
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:P/I:P/A:P
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
Partial
Measures the impact to the confidentiality of information
Integrity Impact
Partial
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
Partial
Measures the impact to the availability of the impacted component
Description
An issue was discovered in NumPy before 1.16.3. 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.
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Sources
CWEs
Related Vulnerabilities
Exploits
Vulnerable Software (13)
Type: Configuration
Product: numpy
Operating System: rhel
{ "fixed": "1.14.3-9.el8"}
Source: redhat
Type: Configuration
Product: python-numpy
Operating System: ubuntu bionic 18.04
{ "unfixed": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: ubuntu cosmic 18.10
{ "unfixed": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: ubuntu disco 19.04
{ "unfixed": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: ubuntu eoan 19.10
{ "unfixed": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: ubuntu focal 20.04
{ "unaffected": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: ubuntu trusty 14.04
{ "unfixed": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: ubuntu xenial 16.04
{ "unfixed": true}
Source: ubuntu
Type: Configuration
Product: python-numpy
Operating System: debian
{ "fixed": "1:1.10.4-1"}
Source: debian
Type: Configuration
Product: python-numpy
Operating System: debian jessie 8
{ "unfixed": true}
Source: debian
Type: Configuration
Product: python27
Operating System: rhel
{ "fixed": "2.7-8010020190903182548.51c94b97"}
Source: redhat
Type: Configuration
Vendor: *
Product: fedora
Operating System: * * *
{ "cpe_match": [ { "cpe23uri": "cpe:2.3:o:fedoraproject:fedora:30:*:*:*:*:*:*:*", "vulnerable": true } ], "operator": "OR"}
Source: nvd
Type: Configuration
Vendor: *
Product: numpy
Operating System: * * *
{ "cpe_match": [ { "cpe23uri": "cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*", "versionEndIncluding": "1.16.0", "vulnerable": true } ], "operator": "OR"}
Source: nvd