Lookup for vulnerable packages by Package URL.
| Purl | pkg:pypi/numpy@1.7.0 |
| Type | pypi |
| Namespace | |
| Name | numpy |
| Version | 1.7.0 |
| Qualifiers |
|
| Subpath | |
| Is_vulnerable | true |
| Next_non_vulnerable_version | 1.19.1 |
| Latest_non_vulnerable_version | 1.22.0 |
| Affected_by_vulnerabilities |
| 0 |
| url |
VCID-86w7-qcmk-xyca |
| vulnerability_id |
VCID-86w7-qcmk-xyca |
| summary |
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. |
| references |
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| fixed_packages |
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| aliases |
CVE-2021-41495, GHSA-5545-2q6w-2gh6, PYSEC-2021-856
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-86w7-qcmk-xyca |
|
| 1 |
| url |
VCID-d4gz-n249-4ucx |
| vulnerability_id |
VCID-d4gz-n249-4ucx |
| summary |
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. |
| references |
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| fixed_packages |
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| aliases |
CVE-2017-12852, GHSA-frgw-fgh6-9g52, PYSEC-2017-1
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-d4gz-n249-4ucx |
|
| 2 |
| url |
VCID-hgxa-jmn2-7udg |
| vulnerability_id |
VCID-hgxa-jmn2-7udg |
| summary |
(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 files via a symlink attack on a temporary file. |
| references |
| 0 |
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| fixed_packages |
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| aliases |
CVE-2014-1859, GHSA-2fc2-6r4j-p65h, PYSEC-2018-34
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| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-hgxa-jmn2-7udg |
|
| 3 |
| url |
VCID-tefk-aqbz-z3gh |
| vulnerability_id |
VCID-tefk-aqbz-z3gh |
| summary |
__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. |
| references |
| 0 |
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| fixed_packages |
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| aliases |
CVE-2014-1858, GHSA-cw6w-4rcx-xphc, PYSEC-2018-33
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| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-tefk-aqbz-z3gh |
|
| 4 |
| url |
VCID-vx94-afb7-ybdw |
| vulnerability_id |
VCID-vx94-afb7-ybdw |
| summary |
** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources. |
| references |
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| fixed_packages |
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| aliases |
CVE-2019-6446, PYSEC-2019-108
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| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-vx94-afb7-ybdw |
|
| 5 |
| url |
VCID-xmpe-ucks-uubr |
| vulnerability_id |
VCID-xmpe-ucks-uubr |
| summary |
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. |
| references |
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| fixed_packages |
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| aliases |
CVE-2021-41496, GHSA-f7c7-j99h-c22f, PYSEC-2021-857
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| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-xmpe-ucks-uubr |
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| Fixing_vulnerabilities |
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| Risk_score | null |
| Resource_url | http://public2.vulnerablecode.io/packages/pkg:pypi/numpy@1.7.0 |