CVE-2019-6446

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 Rocky Linux 8.1 Release Notes linked from the References section.

The numpy packages provide NumPY. NumPY is an extension to the Python programming language, which adds support for large, multi-dimensional arrays and matrices, and a library of mathematical functions that operate on such arrays.

Security Fix(es):

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

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 Rocky Linux 8.1 Release Notes linked from the References section.

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.

TuxCare rebuilt numpy to address 1 CVE. Fixed in 1.16.0.post1+tuxcare.

TuxCare rebuilt numpy to address 1 CVE. Fixed in 1.15.4.post1+tuxcare.

Updated python-numpy packages fix security vulnerability:

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 (CVE-2019-6446).

This update for python-numpy fixes the following issue:

Security issue fixed:

• CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.

NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set allow_pickle to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.

This update was imported from the SUSE:SLE-15:Update update project.

This update for python-numpy fixes the following issues:

Non-security issues fixed:

• Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)

This update was imported from the SUSE:SLE-15:Update update project.

This update for python-numpy fixes the following issues:

Non-security issues fixed:

• Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)

This update was imported from the SUSE:SLE-15:Update update project.

This update for python-numpy fixes the following issues:

Non-security issues fixed:

• Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)

This update was imported from the SUSE:SLE-15:Update update project. This update was imported from the openSUSE:Leap:15.1:Update update project.

These are all security issues fixed in the python38-numpy-1.21.2-1.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the python310-numpy-1.26.2-5.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the python310-numpy1-1.26.4-1.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the python313-numpy-2.4.6-1.1 package on the GA media of openSUSE Tumbleweed.

** 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.

This update for python-numpy fixes the following issue:

Security issue fixed:

• CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.

NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set allow_pickle to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.

This update for python-numpy fixes the following issue:

Security issue fixed:

• CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.

NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set allow_pickle to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.

This update for python-numpy fixes the following issues:

Security issue fixed:

• CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.

NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set allow_pickle to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.

This update for python-numpy fixes the following issues:

Security issue fixed:

• CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.

NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set allow_pickle to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.

This update for python-numpy fixes the following issues:

Security issue fixed:

• CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.

NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set allow_pickle to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.

This update for python-numpy fixes the following issues:

Non-security issues fixed:

• Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)

This update for python-numpy fixes the following issues:

Non-security issues fixed:

• Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)