| CVE-2017-12852 |
high |
7.5 |
7.5 |
|
|
|
9y ago |
The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack. |
| CVE-2021-41495 |
unknown |
— |
— |
|
|
|
4y ago |
Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attack… |
| CVE-2021-41496 |
unknown |
— |
— |
|
|
|
4y ago |
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 val… |
| CVE-2021-33430 |
unknown |
— |
— |
|
|
|
5y ago |
A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a mali… |
| CVE-2021-34141 |
unknown |
— |
— |
|
|
|
5y ago |
An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor sta… |
