Numpy

Every one of the 8 is a mark on the map. Named now: 1 to 8, most at risk first.

1. An issue was discovered in NumPy before 1.16.3. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object,…CVE-2019-6446Numpy · 27% likely

   CWE-502

2. 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 caus…CVE-2017-12852Numpy · 2.7% likely

   CWE-835

3. 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.…CVE-2021-34141Numpy · 1.7% likely

   CWE-697

4. 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, wh…CVE-2021-33430Numpy · 1.5% likely

   CWE-120

5. Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers t…CVE-2021-41495Numpy · 1.2% likely

   CWE-476

6. (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_io.py in NumPy before 1.8.1 allow local users to write to arbitrary fi…CVE-2014-1859Numpy · 0.5% likely

   CWE-59

7. __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack on a temporary file.CVE-2014-1858Numpy · 0.4% likely

   CWE-20

8. 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 arr…CVE-2021-41496Numpy · 0.4% likely

   CWE-120

exploited in the wildcheck availableringed, named or not: CyberSIXT has reported on it

Zoom in on the map and the dots under the middle of it are named where they are.