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  <DocumentTitle xml:lang="en">Security update for python-numpy</DocumentTitle>
  <DocumentType>SUSE Patch</DocumentType>
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        <Date>2019-03-23T11:06:55Z</Date>
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    <Note Title="Topic" Type="Summary" Ordinal="1" xml:lang="en">Security update for python-numpy</Note>
    <Note Title="Details" Type="General" Ordinal="2" xml:lang="en">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.</Note>
    <Note Title="Terms of Use" Type="Legal Disclaimer" Ordinal="3" xml:lang="en">The CVRF data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).</Note>
    <Note Title="Patchnames" Type="Details" Ordinal="4" xml:lang="en">openSUSE-2019-245</Note>
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  <DocumentDistribution xml:lang="en">Copyright SUSE LLC under the Creative Commons License 4.0 with Attribution (CC-BY-4.0)</DocumentDistribution>
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      <Description>SUSE Security Ratings</Description>
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      <URL>https://bugzilla.suse.com/1122208</URL>
      <Description>SUSE Bug 1122208</Description>
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    <Reference Type="Self">
      <URL>https://www.suse.com/security/cve/CVE-2019-6446/</URL>
      <Description>SUSE CVE CVE-2019-6446 page</Description>
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      <Note Title="Vulnerability Description" Type="General" Ordinal="1" xml:lang="en">** 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.</Note>
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    <CVE>CVE-2019-6446</CVE>
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        <URL>https://lists.opensuse.org/archives/list/security-announce@lists.opensuse.org/thread/G6ZDQC6NFUWO7RGAUIZY3TLFQISBKUMX/#G6ZDQC6NFUWO7RGAUIZY3TLFQISBKUMX</URL>
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