Package Instance
Lookup for vulnerable packages by Package URL.
GET /api/packages/12727?format=api
{ "url": "http://public2.vulnerablecode.io/api/packages/12727?format=api", "purl": "pkg:pypi/numpy@1.14.1", "type": "pypi", "namespace": "", "name": "numpy", "version": "1.14.1", "qualifiers": {}, "subpath": "", "is_vulnerable": true, "next_non_vulnerable_version": "1.19.1", "latest_non_vulnerable_version": "1.19.1", "affected_by_vulnerabilities": [ { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/35932?format=api", "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": [ { "reference_url": "https://github.com/advisories/GHSA-5545-2q6w-2gh6", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-5545-2q6w-2gh6" }, { "reference_url": "https://github.com/numpy/numpy/issues/19038", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/numpy/numpy/issues/19038" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25893?format=api", "purl": "pkg:pypi/numpy@1.19.1", "is_vulnerable": false, "affected_by_vulnerabilities": [], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/numpy@1.19.1" } ], "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" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/35308?format=api", "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": [ { "reference_url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html", "reference_id": "", "reference_type": "", "scores": [], "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html" }, { "reference_url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html", "reference_id": "", "reference_type": "", "scores": [], "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html" }, { "reference_url": "http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html", "reference_id": "", "reference_type": "", "scores": [], "url": "http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html" }, { "reference_url": "https://access.redhat.com/errata/RHSA-2019:3335", "reference_id": "", "reference_type": "", "scores": [], "url": "https://access.redhat.com/errata/RHSA-2019:3335" }, { "reference_url": "https://access.redhat.com/errata/RHSA-2019:3704", "reference_id": "", "reference_type": "", "scores": [], "url": "https://access.redhat.com/errata/RHSA-2019:3704" }, { "reference_url": "https://bugzilla.suse.com/show_bug.cgi?id=1122208", "reference_id": "", "reference_type": "", "scores": [], "url": "https://bugzilla.suse.com/show_bug.cgi?id=1122208" }, { "reference_url": "https://github.com/numpy/numpy/issues/12759", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/numpy/numpy/issues/12759" }, { "reference_url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/", "reference_id": "", "reference_type": "", "scores": [], "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/" }, { "reference_url": "http://www.securityfocus.com/bid/106670", "reference_id": "", "reference_type": "", "scores": [], "url": "http://www.securityfocus.com/bid/106670" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/12743?format=api", "purl": "pkg:pypi/numpy@1.16.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-86w7-qcmk-xyca" }, { "vulnerability": "VCID-xmpe-ucks-uubr" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/numpy@1.16.1" } ], "aliases": [ "CVE-2019-6446", "PYSEC-2019-108" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-vx94-afb7-ybdw" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/35931?format=api", "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": [ { "reference_url": "https://github.com/advisories/GHSA-f7c7-j99h-c22f", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-f7c7-j99h-c22f" }, { "reference_url": "https://github.com/numpy/numpy/issues/19000", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/numpy/numpy/issues/19000" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25892?format=api", "purl": "pkg:pypi/numpy@1.19.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-86w7-qcmk-xyca" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/numpy@1.19.0" } ], "aliases": [ "CVE-2021-41496", "GHSA-f7c7-j99h-c22f", "PYSEC-2021-857" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-xmpe-ucks-uubr" } ], "fixing_vulnerabilities": [], "risk_score": null, "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/numpy@1.14.1" }