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numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution

🗓️ 05 Nov 2019 21:02:33Reported by RedHatType 
redhat
 redhat
🔗 access.redhat.com👁 5 Views

NumPy before 1.16.3 uses pickle unsafely in numpy.load, enabling remote code execution via crafted objects.

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Packages
Refs
OSOS VersionArchitecturePackagePackage VersionFilename
Red Hat Enterprise Linux8aarch64cython-debugsource0:0.28.1-7.module+el8.1.0+3111+de3f2d8eCython-debugsource-0:0.28.1-7.module+el8.1.0+3111+de3f2d8e.aarch64.rpm
Red Hat Enterprise Linux8ppc64lecython-debugsource0:0.28.1-7.module+el8.1.0+3111+de3f2d8eCython-debugsource-0:0.28.1-7.module+el8.1.0+3111+de3f2d8e.ppc64le.rpm
Red Hat Enterprise Linux8s390xcython-debugsource0:0.28.1-7.module+el8.1.0+3111+de3f2d8eCython-debugsource-0:0.28.1-7.module+el8.1.0+3111+de3f2d8e.s390x.rpm
Red Hat Enterprise Linux8x86_64cython-debugsource0:0.28.1-7.module+el8.1.0+3111+de3f2d8eCython-debugsource-0:0.28.1-7.module+el8.1.0+3111+de3f2d8e.x86_64.rpm
Red Hat Enterprise Linux8aarch64pyyaml-debugsource0:3.12-16.module+el8.1.0+3111+de3f2d8ePyYAML-debugsource-0:3.12-16.module+el8.1.0+3111+de3f2d8e.aarch64.rpm
Red Hat Enterprise Linux8ppc64lepyyaml-debugsource0:3.12-16.module+el8.1.0+3111+de3f2d8ePyYAML-debugsource-0:3.12-16.module+el8.1.0+3111+de3f2d8e.ppc64le.rpm
Red Hat Enterprise Linux8s390xpyyaml-debugsource0:3.12-16.module+el8.1.0+3111+de3f2d8ePyYAML-debugsource-0:3.12-16.module+el8.1.0+3111+de3f2d8e.s390x.rpm
Red Hat Enterprise Linux8x86_64pyyaml-debugsource0:3.12-16.module+el8.1.0+3111+de3f2d8ePyYAML-debugsource-0:3.12-16.module+el8.1.0+3111+de3f2d8e.x86_64.rpm
Red Hat Enterprise Linux8anybabel0:2.5.1-9.module+el8.1.0+3111+de3f2d8e.noarchbabel-0:2.5.1-9.module+el8.1.0+3111+de3f2d8e.noarch.noarch.rpm
Red Hat Enterprise Linux8aarch64numpy-debugsource1:1.14.2-13.module+el8.1.0+3323+7ac3e00fnumpy-debugsource-1:1.14.2-13.module+el8.1.0+3323+7ac3e00f.aarch64.rpm
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28 Jun 2026 09:05Current
7.8High risk
Vulners AI Score7.8
CVSS 27.5
CVSS 39.8
EPSS0.17078
5