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| purl | pkg:pypi/numpy@1.16.5 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
|
VCID-86w7-qcmk-xyca
Aliases: CVE-2021-41495 GHSA-5545-2q6w-2gh6 PYSEC-2021-856 |
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 attacks by repetitively creating sort arrays. |
Affected by 0 other vulnerabilities. Affected by 3 other vulnerabilities. Affected by 2 other vulnerabilities. |
|
VCID-s2ft-3gq2-tfgv
Aliases: CVE-2021-33430 GHSA-6p56-wp2h-9hxr PYSEC-2021-854 |
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 malicious user cause a Denial of Service. |
Affected by 0 other vulnerabilities. Affected by 1 other vulnerability. |
|
VCID-trpn-8hvc-5qd8
Aliases: CVE-2021-34141 GHSA-fpfv-jqm9-f5jm PYSEC-2021-855 |
Incomplete string comparison in the numpy.core component in NumPy1.9.x, which allows attackers to fail the APIs via constructing specific string objects. |
Affected by 0 other vulnerabilities. Affected by 0 other vulnerabilities. |
|
VCID-xmpe-ucks-uubr
Aliases: CVE-2021-41496 GHSA-f7c7-j99h-c22f PYSEC-2021-857 |
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 by 0 other vulnerabilities. Affected by 3 other vulnerabilities. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| This package is not known to fix vulnerabilities. | ||