Описание
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)
| Релиз | Статус | Примечание |
|---|---|---|
| devel | not-affected | 1:1.24.1-2 |
| esm-infra/focal | released | 1:1.17.4-5ubuntu3.1 |
| focal | released | 1:1.17.4-5ubuntu3.1 |
| hirsute | ignored | end of life |
| impish | ignored | end of life |
| jammy | released | 1:1.21.5-1ubuntu22.04.1 |
| kinetic | released | 1:1.21.5-1ubuntu22.10.1 |
| lunar | not-affected | 1:1.24.1-2 |
| trusty | ignored | end of standard support |
| upstream | released | 1.22.0, 1.23.0 |
Показывать по
2.1 Low
CVSS2
5.5 Medium
CVSS3
Связанные уязвимости
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)
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 ...
Buffer Copy without Checking Size of Input in NumPy
2.1 Low
CVSS2
5.5 Medium
CVSS3