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    CVE-2021-41496

    Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)

    Published:May 13, 2021
    Last Modified:Nov 21, 2024
    EPS:Dec 17, 2021
    EPSS Score:0.00032
    CVSS Score:5.5

    Affected Products

    Vendor
    Numpy
    Product
    Numpy
    Vendor
    Redhat
    Product
    Openstack

    Exploits

    https://github.com/numpy/numpy/issues/19000https://github.com/numpy/numpy/issues/19000

    Related CVEs

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    CVE-2021-33430 (CVSS 5.3) — A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when…
    CVE-2019-6446 (CVSS 9.8) — An issue was discovered in NumPy before 1.16.3. It uses the pickle Python module unsafely, which allows remote…
    CVE-2017-12852 (CVSS 7.5) — The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarra…
    CVE-2014-1859 (CVSS 5.5) — (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_i…
    CVE-2014-1858 (CVSS 5.5) — __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack …

    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