Affected: Homebrew: numpy
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)
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)
Affected: PyPI: numpy
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.
Affected: openEuler:20.03-LTS-SP1: numpy, openEuler:20.03-LTS-SP2: numpy, openEuler:20.03-LTS-SP3: numpy
A fast multidimensional array facility for Python. Security Fix(es): 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.(CVE-2021-41496)
Security update for python-numpy
Affected: PyPI: numpy
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.
numpy: buffer overflow in the PyArray_NewFromDescr_int() in ctors.c numpy: buffer overflow in the array_from_pyobj() in fortranobject.c
Security update for python-numpy
Affected: Ubuntu:20.04:LTS: numpy, Ubuntu:22.04:LTS: numpy
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)
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