PYSEC-2019-108

    Dashboard / Vulnerabilities / PYSEC-2019-108

    PYSEC-2019-108

    Published: 16 Jan 2019Last Modified: 10 Jun 2026

    Summary:

    Details: ** 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.

    References: https://github.com/numpy/numpy/issues/12759, https://bugzilla.suse.com/show_bug.cgi?id=1122208, http://www.securityfocus.com/bid/106670, https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/, 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://access.redhat.com/errata/RHSA-2019:3335, https://access.redhat.com/errata/RHSA-2019:3704, https://github.com/advisories/GHSA-9fq2-x9r6-wfmf

    Affected packages

    Package

    Name: numpy

    Purl: pkg:pypi/numpy

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -1.16.1

    Affected versions

    0.9.6
    0.9.8

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High