{"url":"http://public2.vulnerablecode.io/api/packages/12734?format=json","purl":"pkg:pypi/numpy@1.15.0rc2","type":"pypi","namespace":"","name":"numpy","version":"1.15.0rc2","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=json","vulnerability_id":"VCID-86w7-qcmk-xyca","summary":"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 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"},{"reference_url":"https://nvd.nist.gov/vuln/detail/CVE-2021-41495","reference_id":"CVE-2021-41495","reference_type":"","scores":[],"url":"https://nvd.nist.gov/vuln/detail/CVE-2021-41495"}],"fixed_packages":[{"url":"http://public2.vulnerablecode.io/api/packages/25893?format=json","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=json","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=json","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=json","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"},{"reference_url":"https://nvd.nist.gov/vuln/detail/CVE-2021-41496","reference_id":"CVE-2021-41496","reference_type":"","scores":[],"url":"https://nvd.nist.gov/vuln/detail/CVE-2021-41496"}],"fixed_packages":[{"url":"http://public2.vulnerablecode.io/api/packages/25892?format=json","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@1.15.0rc2"}