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| purl | pkg:pypi/numpy@1.10.1 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
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VCID-4sb5-1fc6-9qbp
Aliases: CVE-2021-41495 GHSA-5545-2q6w-2gh6 PYSEC-2021-856 |
Affected by 0 other vulnerabilities. Affected by 2 other vulnerabilities. |
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VCID-ap52-g1sg-aqd2
Aliases: CVE-2017-12852 GHSA-frgw-fgh6-9g52 PYSEC-2017-1 |
Affected by 6 other vulnerabilities. |
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VCID-cz85-6b1s-8kew
Aliases: CVE-2021-41496 GHSA-f7c7-j99h-c22f PYSEC-2021-857 |
Affected by 0 other vulnerabilities. Affected by 3 other vulnerabilities. |
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VCID-em5k-c24m-nufw
Aliases: PYSEC-2019-38 |
** 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. |
Affected by 4 other vulnerabilities. |
|
VCID-qzwu-as7k-57gy
Aliases: CVE-2021-33430 GHSA-6p56-wp2h-9hxr PYSEC-2021-854 |
Affected by 0 other vulnerabilities. Affected by 1 other vulnerability. |
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VCID-r8yj-jyze-gbfz
Aliases: CVE-2021-34141 GHSA-fpfv-jqm9-f5jm PYSEC-2021-855 |
Affected by 0 other vulnerabilities. Affected by 0 other vulnerabilities. |
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VCID-tpq5-hxyq-xych
Aliases: CVE-2019-6446 GHSA-9fq2-x9r6-wfmf PYSEC-2019-108 |
Affected by 4 other vulnerabilities. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| This package is not known to fix vulnerabilities. | ||