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ALSA-2019:3335 — Moderate: python27:2.7 security and bug fix update

2026-10-02T22:28:28.880796+00:00

Affected: AlmaLinux:8: python-psycopg2-doc, AlmaLinux:8: python2-Cython, AlmaLinux:8: python2-PyMySQL, AlmaLinux:8: python2-attrs, AlmaLinux:8: python2-chardet, AlmaLinux:8: python2-coverage, AlmaLinux:8: python2-dns, AlmaLinux:8: python2-docs, AlmaLinux:8: python2-docs-info, AlmaLinux:8: python2-docutils and 17 more

Python is an interpreted, interactive, object-oriented programming language that supports modules, classes, exceptions, high-level dynamic data types, and dynamic typing.

Security Fix(es):

* numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution (CVE-2019-6446)

* python: CRLF injection via the query part of the url passed to urlopen() (CVE-2019-9740)

* python: CRLF injection via the path part of the url passed to urlopen() (CVE-2019-9947)

* python: Undocumented local_file protocol allows remote attackers to bypass protection mechanisms (CVE-2019-9948)

* python-urllib3: CRLF injection due to not encoding the '\r\n' sequence leading to possible attack on internal service (CVE-2019-11236)

* python-urllib3: Certification mishandle when error should be thrown (CVE-2019-11324)

For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

Additional Changes:

For detailed information on changes in this release, see the AlmaLinux Release Notes linked from the References section.

bdu:2019-01157

2026-10-02T22:28:28.880912+00:00

bdu:2019-01157

BREW-numpy-CVE-2019-6446

2026-10-02T22:28:28.880932+00:00

Affected: Homebrew: numpy

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.

EUVD-2026-248038

2026-10-02T22:28:28.880958+00:00

EUVD-2026-248038

fkie_cve-2019-6446

2026-10-02T22:28:28.880971+00:00

GHSA-9fq2-x9r6-wfmf — Numpy Deserialization of Untrusted Data

2026-10-02T22:28:28.880995+00:00

Affected: PyPI: numpy

** DISPUTED ** An issue was discovered in NumPy 1.16.2 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.

gsd-2019-6446

2026-10-02T22:28:28.881017+00:00

gsd-2019-6446

openSUSE-SU-2019:0245-1 — Security update for python-numpy

2026-10-02T22:28:28.881029+00:00

Security update for python-numpy

PYSEC-2019-108

2026-10-02T22:28:28.881047+00:00

Affected: PyPI: numpy

** 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.

SUSE-SU-2019:0418-1 — Security update for python-numpy

2026-10-02T22:28:28.881068+00:00

Security update for python-numpy