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CVE-2019-6446

Good to know:

Date: January 16, 2019

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

Language: Python

Severity Score

9.8

Related Resources (21)

Url: http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html

Url: https://nvd.nist.gov/vuln/detail/CVE-2019-6446

Url: https://access.redhat.com/errata/RHSA-2019:3335

Url: http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html

Url: https://github.com/numpy/numpy/issues/12759

Url: https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/

Url: https://bugzilla.suse.com/show_bug.cgi?id=1122208

Url: https://web.archive.org/web/20210124234613/https://www.securityfocus.com/bid/106670

Url: http://www.securityfocus.com/bid/106670

Url: https://github.com/numpy/numpy/pull/13359

Url: https://github.com/numpy/numpy

Url: https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4

Url: https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/

Url: https://access.redhat.com/security/cve/CVE-2019-6446

Url: https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4

Url: https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb

Url: https://github.com/numpy/numpy/pull/12889

Url: https://access.redhat.com/errata/RHSA-2019:3704

Url: http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html

Url: https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2019-108.yaml

Url: https://www.mend.io/vulnerability-database/CVE-2019-6446

Severity Score

9.8

Weakness Type (CWE)

Deserialization of Untrusted Data

CWE-502

CVSS v3.1

Base Score:	9.8
Attack Vector (AV):	NETWORK
Attack Complexity (AC):	LOW
Privileges Required (PR):	NONE
User Interaction (UI):	NONE
Scope (S):	UNCHANGED
Confidentiality (C):	HIGH
Integrity (I):	HIGH
Availability (A):	HIGH

CVSS v2

Base Score:	7.5
Access Vector (AV):	NETWORK
Access Complexity (AC):	LOW
Authentication (AU):	NONE
Confidentiality (C):	PARTIAL
Integrity (I):	PARTIAL
Availability (A):	PARTIAL
Additional information:

Mend.io Vulnerability Database

We found results for “”

CVE-2019-6446

Good to know:

Date: January 16, 2019

Language: Python

Severity Score

Related Resources (21)

Severity Score

Weakness Type (CWE)

CVSS v3.1

CVSS v2

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