{"id":"CVE-2019-6446","aliases":["ALSA-2019:3335","CLSA-2025-1754266434","CLSA-2025-1755216832","EUVD-2019-0098","GHSA-9fq2-x9r6-wfmf","MGASA-2019-0322","PYSEC-2019-108","RHSA-2019:3335","RHSA-2019:3704","RLSA-2019:3335","RLSA-2019:3704","SUSE-SU-2019:0418-1","SUSE-SU-2019:0419-1","SUSE-SU-2019:0448-1","SUSE-SU-2019:13951-1","SUSE-SU-2019:13977-1","SUSE-SU-2019:2462-1","SUSE-SU-2019:2462-2","openSUSE-SU-2019:0245-1","openSUSE-SU-2019:2225-1","openSUSE-SU-2019:2227-1","openSUSE-SU-2019:2259-1","openSUSE-SU-2024:11243-1","openSUSE-SU-2024:13820-1","openSUSE-SU-2024:14311-1","openSUSE-SU-2026:11371-1"],"status":"disputed","title":"Numpy Deserialization of Untrusted Data","description":"An issue was discovered in NumPy before 1.16.3. 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.","severity":{"version":"3.0","score":9.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"critical","assessor":"primary","from":"nvd"},"epss":{"day":"2026-11-08","score":0.27266,"percentile":0.98071,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":true,"fix_available":true},"cwes":["CWE-502"],"published":"2019-01-16T05:00:00Z","modified":"2026-10-29T11:00:07Z","exploits":[{"source":"pocgithub","id":"RayScri/CVE-2019-6446","title":"RayScri/CVE-2019-6446","date":"2019-05-15","url":"https://github.com/RayScri/CVE-2019-6446"}],"fixes":[{"ecosystem":"PyPI","package":"numpy","fixed_in":["1.16.3","1.16.1"],"sources":["ghsa","osv"]},{"ecosystem":"TuxCare:PyPI","package":"numpy","fixed_in":["1.16.0.post1+tuxcare","1.15.4.post1+tuxcare"],"sources":["osv"]},{"ecosystem":"Mageia:7","package":"python-numpy","fixed_in":["1.16.3-1.mga7"],"sources":["osv"]},{"ecosystem":"Red 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issue was discovered in NumPy before 1.16.3. 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.","status":"disputed","published":"2019-01-16T05:00:00Z","modified":"2025-07-21T22:10:51.613Z","updated_at":"2026-11-02T14:20:23.381621Z"}],"euvd":[{"id":"EUVD-2019-0098","description":"An issue was discovered in NumPy before 1.16.3. 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.","status":"published","published":"2019-01-16T05:00:00Z","modified":"2025-07-21T22:10:51Z","updated_at":"2026-11-02T20:32:06.121511Z"}],"ghsa":[{"id":"GHSA-9fq2-x9r6-wfmf","title":"Numpy Deserialization of Untrusted Data","description":"** DISPUTED **  An issue was discovered in NumPy 1.16.2 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.","status":"published","published":"2022-05-24T22:00:57Z","modified":"2026-07-06T15:24:13Z","cvss":[{"version":"4.0","score":9.3,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","level":"critical"},{"version":"3.0","score":9.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"critical"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:40:38.48196Z"}],"nvd":[{"id":"CVE-2019-6446","description":"An issue was discovered in NumPy before 1.16.3. 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.","status":"disputed","published":"2019-01-16T05:29:01.37Z","modified":"2026-06-17T02:39:03.863Z","cvss":[{"version":"3.0","score":9.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"critical","assessor":"primary"},{"version":"2.0","score":7.5,"vector":"AV:N/AC:L/Au:N/C:P/I:P/A:P","level":"high","assessor":"primary"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:05:02.989216Z"}],"osv":[{"id":"CVE-2019-6446","description":"An issue was discovered in NumPy before 1.16.3. 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.","status":"published","published":"2019-01-16T05:29:01.37Z","modified":"2026-10-20T10:51:40.709469363Z","cvss":[{"version":"3.0","score":9.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"critical"}],"updated_at":"2026-11-02T15:44:12.675558Z"},{"id":"GHSA-9fq2-x9r6-wfmf","title":"Numpy Deserialization of Untrusted Data","description":"** DISPUTED **  An issue was discovered in NumPy 1.16.2 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.","status":"published","published":"2022-05-24T22:00:57Z","modified":"2026-07-06T15:30:15.818392869Z","cvss":[{"version":"3.0","score":9.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"critical"},{"version":"4.0","score":9.3,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","level":"critical"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:46:43.524801Z"},{"id":"RHSA-2019:3335","title":"Red Hat Security Advisory: python27:2.7 security and bug fix update","status":"published","published":"2024-09-18T04:10:37Z","modified":"2026-10-08T10:01:39Z","cvss":[{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:53:06.0195Z"},{"id":"RHSA-2019:3704","title":"Red Hat Security Advisory: numpy security update","status":"published","published":"2024-09-16T02:21:45Z","modified":"2026-06-27T10:08:32Z","cvss":[{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:53:06.535721Z"},{"id":"RLSA-2019:3335","title":"Moderate: python27:2.7 security and bug fix update","description":"Python is an interpreted, interactive, object-oriented programming language that supports modules, classes, exceptions, high-level dynamic data types, and dynamic typing.\n\nSecurity Fix(es):\n\n* numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution (CVE-2019-6446)\n\n* python: CRLF injection via the query part of the url passed to urlopen() (CVE-2019-9740)\n\n* python: CRLF injection via the path part of the url passed to urlopen() (CVE-2019-9947)\n\n* python: Undocumented local_file protocol allows remote attackers to bypass protection mechanisms (CVE-2019-9948)\n\n* python-urllib3: CRLF injection due to not encoding the '\\r\\n' sequence leading to possible attack on internal service (CVE-2019-11236)\n\n* python-urllib3: Certification mishandle when error should be thrown (CVE-2019-11324)\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.\n\nAdditional Changes:\n\nFor detailed information on changes in this release, see the Rocky Linux 8.1 Release Notes linked from the References section.","status":"published","published":"2019-11-05T17:32:12Z","modified":"2026-02-04T09:45:06.666364Z","cvss":[{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:53:23.969672Z"},{"id":"RLSA-2019:3704","title":"Moderate: numpy security update","description":"The numpy packages provide NumPY. NumPY is an extension to the Python programming language, which adds support for large, multi-dimensional arrays and matrices, and a library of mathematical functions that operate on such arrays.\n\nSecurity Fix(es):\n\n* numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution (CVE-2019-6446)\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.\n\nAdditional Changes:\n\nFor detailed information on changes in this release, see the Rocky Linux 8.1 Release Notes linked from the References section.","status":"published","published":"2019-11-05T20:53:10Z","modified":"2026-02-05T07:15:10.575992Z","cvss":[{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:53:23.969672Z"},{"id":"ALSA-2019:3335","title":"Moderate: python27:2.7 security and bug fix update","description":"Python is an interpreted, interactive, object-oriented programming language that supports modules, classes, exceptions, high-level dynamic data types, and dynamic typing.\n\nSecurity Fix(es):\n\n* numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution (CVE-2019-6446)\n\n* python: CRLF injection via the query part of the url passed to urlopen() (CVE-2019-9740)\n\n* python: CRLF injection via the path part of the url passed to urlopen() (CVE-2019-9947)\n\n* python: Undocumented local_file protocol allows remote attackers to bypass protection mechanisms (CVE-2019-9948)\n\n* python-urllib3: CRLF injection due to not encoding the '\\r\\n' sequence leading to possible attack on internal service (CVE-2019-11236)\n\n* python-urllib3: Certification mishandle when error should be thrown (CVE-2019-11324)\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.\n\nAdditional Changes:\n\nFor detailed information on changes in this release, see the AlmaLinux Release Notes linked from the References section.","status":"published","published":"2019-11-05T17:32:12Z","modified":"2026-10-29T11:00:07.829598396Z","updated_at":"2026-11-02T15:27:51.196609Z"},{"id":"CLSA-2025-1754266434","title":"TuxCare security update for numpy (1 CVE)","description":"TuxCare rebuilt numpy to address 1 CVE. Fixed in 1.16.0.post1+tuxcare.","status":"published","published":"2026-08-04T14:52:11Z","modified":"2026-10-20T13:45:18.47077846Z","updated_at":"2026-11-02T15:43:42.025438Z"},{"id":"CLSA-2025-1755216832","title":"TuxCare security update for numpy (1 CVE)","description":"TuxCare rebuilt numpy to address 1 CVE. Fixed in 1.15.4.post1+tuxcare.","status":"published","published":"2026-08-04T14:52:11Z","modified":"2026-10-20T13:45:22.669959753Z","updated_at":"2026-11-02T15:43:42.025438Z"},{"id":"MGASA-2019-0322","title":"Updated python-numpy packages fix security vulnerability","description":"Updated python-numpy packages fix security vulnerability:\n\nAn issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle\nPython module unsafely, which allows remote attackers to execute arbitrary\ncode via a crafted serialized object, as demonstrated by a numpy.load call\n(CVE-2019-6446).\n","status":"published","published":"2019-11-14T16:58:51Z","modified":"2026-04-16T04:41:40.049120298Z","updated_at":"2026-11-02T15:49:41.151324Z"},{"id":"openSUSE-SU-2019:0245-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issue:\n\nSecurity issue fixed:\n\n- CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208).\n  With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by\n  misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.\n  \nNOTE: By applying this update the behavior of python-numpy changes, which might break your application.\nIn order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware\nthat this should only be done for trusted input, as loading untrusted input might lead to arbitrary code\nexecution.\n\nThis update was imported from the SUSE:SLE-15:Update update project.","status":"published","published":"2019-03-23T11:06:55Z","modified":"2026-02-04T03:34:05.826765Z","updated_at":"2026-11-02T16:58:30.39372Z"},{"id":"openSUSE-SU-2019:2225-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\nNon-security issues fixed:\n\n- Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)\n\nThis update was imported from the SUSE:SLE-15:Update update project.","status":"published","published":"2019-09-30T18:21:36Z","modified":"2026-02-04T04:19:24.234565Z","updated_at":"2026-11-02T16:58:30.784344Z"},{"id":"openSUSE-SU-2019:2227-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\nNon-security issues fixed:\n\n- Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)\n\nThis update was imported from the SUSE:SLE-15:Update update project.","status":"published","published":"2019-09-30T18:21:50Z","modified":"2026-02-04T04:17:27.655458Z","updated_at":"2026-11-02T16:58:30.784344Z"},{"id":"openSUSE-SU-2019:2259-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\nNon-security issues fixed:\n\n- Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)\n\nThis update was imported from the SUSE:SLE-15:Update update project.\nThis update was imported from the openSUSE:Leap:15.1:Update update project.","status":"published","published":"2019-10-06T08:20:28Z","modified":"2026-02-04T04:20:07.563377Z","updated_at":"2026-11-02T16:58:30.784344Z"},{"id":"openSUSE-SU-2024:11243-1","title":"python38-numpy-1.21.2-1.1 on GA media","description":"These are all security issues fixed in the python38-numpy-1.21.2-1.1 package on the GA media of openSUSE Tumbleweed.","status":"published","published":"2024-06-15T00:00:00Z","modified":"2026-02-04T02:55:53.096275Z","updated_at":"2026-11-02T16:58:34.894275Z"},{"id":"openSUSE-SU-2024:13820-1","title":"python310-numpy-1.26.2-5.1 on GA media","description":"These are all security issues fixed in the python310-numpy-1.26.2-5.1 package on the GA media of openSUSE Tumbleweed.","status":"published","published":"2024-06-15T00:00:00Z","modified":"2026-02-04T03:59:08.78178Z","updated_at":"2026-11-02T16:58:36.327643Z"},{"id":"openSUSE-SU-2024:14311-1","title":"python310-numpy1-1.26.4-1.1 on GA media","description":"These are all security issues fixed in the python310-numpy1-1.26.4-1.1 package on the GA media of openSUSE Tumbleweed.","status":"published","published":"2024-09-04T00:00:00Z","modified":"2026-02-04T02:59:21.451315Z","updated_at":"2026-11-02T16:58:36.662953Z"},{"id":"openSUSE-SU-2026:11371-1","title":"python313-numpy-2.4.6-1.1 on GA media","description":"These are all security issues fixed in the python313-numpy-2.4.6-1.1 package on the GA media of openSUSE Tumbleweed.","status":"published","published":"2026-07-24T00:00:00Z","modified":"2026-07-25T18:24:27.807636812Z","updated_at":"2026-11-02T16:58:39.516824Z"},{"id":"PYSEC-2019-108","description":"** 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.","status":"published","published":"2019-01-16T05:29:00Z","modified":"2026-06-10T17:02:26.371473951Z","updated_at":"2026-11-02T15:52:52.192131Z"},{"id":"SUSE-SU-2019:0418-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issue:\n\nSecurity issue fixed:\n\n- CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208).\n  With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by\n  misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.\n  \nNOTE: By applying this update the behavior of python-numpy changes, which might break your application.\nIn order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware\nthat this should only be done for trusted input, as loading untrusted input might lead to arbitrary code\nexecution.\n","status":"published","published":"2019-02-16T10:34:02Z","modified":"2026-02-04T04:36:23.85953Z","updated_at":"2026-11-02T15:53:45.926331Z"},{"id":"SUSE-SU-2019:0419-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issue:\n\nSecurity issue fixed:\n\n- CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208).\n  With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by\n  misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.  \n\nNOTE: By applying this update the behavior of python-numpy changes, which might break your application.\nIn order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware\nthat this should only be done for trusted input, as loading untrusted input might lead to arbitrary code\nexecution.\n","status":"published","published":"2019-02-18T08:56:27Z","modified":"2026-02-04T03:49:46.0353Z","updated_at":"2026-11-02T15:53:45.926331Z"},{"id":"SUSE-SU-2019:0448-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\t  \nSecurity issue fixed:\n\n- CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208).\n  With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by\n  misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.\n  \nNOTE: By applying this update the behavior of python-numpy changes, which might break your application.\nIn order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware\nthat this should only be done for trusted input, as loading untrusted input might lead to arbitrary code\nexecution.\n","status":"published","published":"2019-02-20T07:38:41Z","modified":"2026-02-04T02:39:11.864676Z","updated_at":"2026-11-02T15:53:45.926331Z"},{"id":"SUSE-SU-2019:13951-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\nSecurity issue fixed:\n\n- CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208).\n  With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by\n  misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.\n  \nNOTE: By applying this update the behavior of python-numpy changes, which might break your application.\nIn order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware\nthat this should only be done for trusted input, as loading untrusted input might lead to arbitrary code\nexecution.\n","status":"published","published":"2019-02-12T11:55:10Z","modified":"2026-02-04T03:19:35.954645Z","updated_at":"2026-11-02T15:53:46.44301Z"},{"id":"SUSE-SU-2019:13977-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\t  \nSecurity issue fixed:\n\n- CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208).\n  With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by\n  misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set.\n  \nNOTE: By applying this update the behavior of python-numpy changes, which might break your application.\nIn order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware\nthat this should only be done for trusted input, as loading untrusted input might lead to arbitrary code\nexecution.\n","status":"published","published":"2019-03-12T17:41:20Z","modified":"2026-02-04T04:16:03.456878Z","updated_at":"2026-11-02T15:53:46.44301Z"},{"id":"SUSE-SU-2019:2462-1","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\nNon-security issues fixed:\n\n- Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)\n","status":"published","published":"2019-09-25T14:43:09Z","modified":"2026-02-04T02:44:49.661619Z","updated_at":"2026-11-02T15:53:46.44301Z"},{"id":"SUSE-SU-2019:2462-2","title":"Security update for python-numpy","description":"This update for python-numpy fixes the following issues:\n\nNon-security issues fixed:\n\n- Updated to upstream version 1.16.1. (bsc#1149203) (jsc#SLE-8532)\n","status":"published","published":"2019-10-18T14:23:27Z","modified":"2026-02-04T02:31:50.667271Z","updated_at":"2026-11-02T15:53:46.44301Z"}]}}