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Security Advisories: GSA_kwCzR0hTQS05ZnEyLXg5cjYtd2ZtZs4AAq9p
Numpy Deserialization of Untrusted Data
** 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.
Permalink: https://github.com/advisories/GHSA-9fq2-x9r6-wfmfJSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS05ZnEyLXg5cjYtd2ZtZs4AAq9p
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Critical
Classification: General
Published: over 2 years ago
Updated: 3 months ago
CVSS Score: 9.8
CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Percentage: 0.03444
EPSS Percentile: 0.91295
Identifiers: GHSA-9fq2-x9r6-wfmf, CVE-2019-6446
References:
- https://nvd.nist.gov/vuln/detail/CVE-2019-6446
- https://github.com/numpy/numpy/issues/12759
- https://bugzilla.suse.com/show_bug.cgi?id=1122208
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html
- http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html
- https://github.com/numpy/numpy/pull/12889
- https://access.redhat.com/errata/RHSA-2019:3335
- https://access.redhat.com/errata/RHSA-2019:3704
- https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4
- https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4
- https://web.archive.org/web/20210124234613/https://www.securityfocus.com/bid/106670
- https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2019-108.yaml
- https://github.com/advisories/GHSA-9fq2-x9r6-wfmf
Blast Radius: 55.7
Affected Packages
pypi:numpy
Dependent packages: 36,144Dependent repositories: 487,463
Downloads: 408,244,646 last month
Affected Version Ranges: <= 1.16.0
No known fixed version
All affected versions: 0.9.6, 0.9.8, 1.0.3, 1.0.4, 1.1.1, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0, 1.10.1, 1.10.2, 1.10.3, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 1.13.3, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0