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)
The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow.
Link | Tags |
---|---|
https://github.com/numpy/numpy/issues/19000 | issue tracking patch exploit third party advisory |
https://www.oracle.com/security-alerts/cpujul2022.html | third party advisory |