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CVE-2017-12852 (GCVE-0-2017-12852)
Vulnerability from cvelistv5
Published
2017-08-15 16:00
Modified
2024-08-05 18:51
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- n/a
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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opensuse-su-2024:11243-1
Vulnerability from csaf_opensuse
Published
2024-06-15 00:00
Modified
2024-06-15 00:00
Summary
python38-numpy-1.21.2-1.1 on GA media
Notes
Title of the patch
python38-numpy-1.21.2-1.1 on GA media
Description of the patch
These are all security issues fixed in the python38-numpy-1.21.2-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames
openSUSE-Tumbleweed-2024-11243
Terms of use
CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
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"category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/opensuse-su-2024_11243-1.json" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" }, { "category": "self", "summary": "SUSE CVE CVE-2019-6446 page", "url": "https://www.suse.com/security/cve/CVE-2019-6446/" } ], "title": "python38-numpy-1.21.2-1.1 on GA media", "tracking": { "current_release_date": "2024-06-15T00:00:00Z", "generator": { "date": "2024-06-15T00:00:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "openSUSE-SU-2024:11243-1", "initial_release_date": "2024-06-15T00:00:00Z", "revision_history": [ { "date": "2024-06-15T00:00:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": 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"name": "python38-numpy-devel-1.21.2-1.1.s390x", "product_id": "python38-numpy-devel-1.21.2-1.1.s390x" } }, { "category": "product_version", "name": "python39-numpy-1.21.2-1.1.s390x", "product": { "name": "python39-numpy-1.21.2-1.1.s390x", "product_id": "python39-numpy-1.21.2-1.1.s390x" } }, { "category": "product_version", "name": "python39-numpy-devel-1.21.2-1.1.s390x", "product": { "name": "python39-numpy-devel-1.21.2-1.1.s390x", "product_id": "python39-numpy-devel-1.21.2-1.1.s390x" } } ], "category": "architecture", "name": "s390x" }, { "branches": [ { "category": "product_version", "name": "python38-numpy-1.21.2-1.1.x86_64", "product": { "name": "python38-numpy-1.21.2-1.1.x86_64", "product_id": "python38-numpy-1.21.2-1.1.x86_64" } }, { "category": "product_version", "name": "python38-numpy-devel-1.21.2-1.1.x86_64", "product": { "name": "python38-numpy-devel-1.21.2-1.1.x86_64", "product_id": "python38-numpy-devel-1.21.2-1.1.x86_64" } }, { "category": "product_version", "name": "python39-numpy-1.21.2-1.1.x86_64", "product": { "name": "python39-numpy-1.21.2-1.1.x86_64", "product_id": "python39-numpy-1.21.2-1.1.x86_64" } }, { "category": "product_version", "name": "python39-numpy-devel-1.21.2-1.1.x86_64", "product": { "name": "python39-numpy-devel-1.21.2-1.1.x86_64", "product_id": "python39-numpy-devel-1.21.2-1.1.x86_64" } } ], "category": "architecture", "name": "x86_64" }, { "branches": [ { "category": "product_name", "name": "openSUSE Tumbleweed", "product": { "name": "openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed", "product_identification_helper": { "cpe": "cpe:/o:opensuse:tumbleweed" } } } ], "category": "product_family", "name": "SUSE Linux Enterprise" } ], "category": "vendor", "name": "SUSE" } ], "relationships": [ { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64" }, "product_reference": "python38-numpy-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le" }, "product_reference": "python38-numpy-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x" }, "product_reference": "python38-numpy-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64" }, "product_reference": "python38-numpy-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python38-numpy-devel-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64" }, "product_reference": "python38-numpy-devel-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64" }, "product_reference": "python39-numpy-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le" }, "product_reference": "python39-numpy-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x" }, "product_reference": "python39-numpy-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64" }, "product_reference": "python39-numpy-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.aarch64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.aarch64", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.ppc64le as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.ppc64le", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python39-numpy-devel-1.21.2-1.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" }, "product_reference": "python39-numpy-devel-1.21.2-1.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" }, { "cve": "CVE-2019-6446", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2019-6446" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2019-6446", "url": "https://www.suse.com/security/cve/CVE-2019-6446" }, { "category": "external", "summary": "SUSE Bug 1122208 for CVE-2019-6446", "url": "https://bugzilla.suse.com/1122208" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.8, "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python38-numpy-devel-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-1.21.2-1.1.x86_64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.aarch64", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.ppc64le", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.s390x", "openSUSE Tumbleweed:python39-numpy-devel-1.21.2-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "moderate" } ], "title": "CVE-2019-6446" } ] }
opensuse-su-2024:14311-1
Vulnerability from csaf_opensuse
Published
2024-09-04 00:00
Modified
2024-09-04 00:00
Summary
python310-numpy1-1.26.4-1.1 on GA media
Notes
Title of the patch
python310-numpy1-1.26.4-1.1 on GA media
Description of the patch
These are all security issues fixed in the python310-numpy1-1.26.4-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames
openSUSE-Tumbleweed-2024-14311
Terms of use
CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "python310-numpy1-1.26.4-1.1 on GA media", "title": "Title of the patch" }, { "category": "description", "text": "These are all security issues fixed in the python310-numpy1-1.26.4-1.1 package on the GA media of openSUSE Tumbleweed.", "title": "Description of the patch" }, { "category": "details", "text": "openSUSE-Tumbleweed-2024-14311", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/opensuse-su-2024_14311-1.json" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" }, { "category": "self", "summary": "SUSE CVE CVE-2019-6446 page", "url": "https://www.suse.com/security/cve/CVE-2019-6446/" }, { "category": "self", "summary": "SUSE CVE CVE-2021-33430 page", "url": "https://www.suse.com/security/cve/CVE-2021-33430/" }, { "category": "self", "summary": "SUSE CVE CVE-2021-41495 page", "url": "https://www.suse.com/security/cve/CVE-2021-41495/" }, { "category": "self", "summary": "SUSE CVE CVE-2021-41496 page", "url": "https://www.suse.com/security/cve/CVE-2021-41496/" } ], "title": "python310-numpy1-1.26.4-1.1 on GA media", "tracking": { "current_release_date": "2024-09-04T00:00:00Z", "generator": { "date": "2024-09-04T00:00:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "openSUSE-SU-2024:14311-1", "initial_release_date": "2024-09-04T00:00:00Z", "revision_history": [ { "date": "2024-09-04T00:00:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python310-numpy1-1.26.4-1.1.aarch64", "product": { "name": "python310-numpy1-1.26.4-1.1.aarch64", "product_id": "python310-numpy1-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python310-numpy1-devel-1.26.4-1.1.aarch64", "product": { "name": "python310-numpy1-devel-1.26.4-1.1.aarch64", "product_id": "python310-numpy1-devel-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy1-1.26.4-1.1.aarch64", "product": { "name": "python311-numpy1-1.26.4-1.1.aarch64", "product_id": "python311-numpy1-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy1-devel-1.26.4-1.1.aarch64", "product": { "name": "python311-numpy1-devel-1.26.4-1.1.aarch64", "product_id": "python311-numpy1-devel-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy1-1.26.4-1.1.aarch64", "product": { "name": "python312-numpy1-1.26.4-1.1.aarch64", "product_id": "python312-numpy1-1.26.4-1.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy1-devel-1.26.4-1.1.aarch64", "product": { "name": "python312-numpy1-devel-1.26.4-1.1.aarch64", "product_id": "python312-numpy1-devel-1.26.4-1.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": "python310-numpy1-1.26.4-1.1.ppc64le", "product": { "name": "python310-numpy1-1.26.4-1.1.ppc64le", "product_id": "python310-numpy1-1.26.4-1.1.ppc64le" } }, { "category": "product_version", "name": "python310-numpy1-devel-1.26.4-1.1.ppc64le", "product": { "name": 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An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE 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Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" }, { "cve": "CVE-2019-6446", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2019-6446" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2019-6446", "url": "https://www.suse.com/security/cve/CVE-2019-6446" }, { "category": "external", "summary": "SUSE Bug 1122208 for CVE-2019-6446", "url": "https://bugzilla.suse.com/1122208" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.8, "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2019-6446" }, { "cve": "CVE-2021-33430", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2021-33430" } ], "notes": [ { "category": "general", "text": "A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2021-33430", "url": "https://www.suse.com/security/cve/CVE-2021-33430" }, { "category": "external", "summary": "SUSE Bug 1193913 for CVE-2021-33430", "url": "https://bugzilla.suse.com/1193913" }, { "category": "external", "summary": "SUSE Bug 1201968 for CVE-2021-33430", "url": "https://bugzilla.suse.com/1201968" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 7.5, "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "important" } ], "title": "CVE-2021-33430" }, { "cve": "CVE-2021-41495", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2021-41495" } ], "notes": [ { "category": "general", "text": "Null Pointer Dereference vulnerability exists in numpy.sort in NumPy \u0026lt 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. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2021-41495", "url": "https://www.suse.com/security/cve/CVE-2021-41495" }, { "category": "external", "summary": "SUSE Bug 1193911 for CVE-2021-41495", "url": "https://bugzilla.suse.com/1193911" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 5.5, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H", "version": "3.1" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2021-41495" }, { "cve": "CVE-2021-41496", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2021-41496" } ], "notes": [ { "category": "general", "text": "Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2021-41496", "url": "https://www.suse.com/security/cve/CVE-2021-41496" }, { "category": "external", "summary": "SUSE Bug 1193907 for CVE-2021-41496", "url": "https://bugzilla.suse.com/1193907" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 5.5, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H", "version": "3.1" }, "products": [ "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python310-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python311-numpy1-devel-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-1.26.4-1.1.x86_64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.aarch64", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.ppc64le", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.s390x", "openSUSE Tumbleweed:python312-numpy1-devel-1.26.4-1.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-09-04T00:00:00Z", "details": "moderate" } ], "title": "CVE-2021-41496" } ] }
opensuse-su-2024:13820-1
Vulnerability from csaf_opensuse
Published
2024-06-15 00:00
Modified
2024-06-15 00:00
Summary
python310-numpy-1.26.2-5.1 on GA media
Notes
Title of the patch
python310-numpy-1.26.2-5.1 on GA media
Description of the patch
These are all security issues fixed in the python310-numpy-1.26.2-5.1 package on the GA media of openSUSE Tumbleweed.
Patchnames
openSUSE-Tumbleweed-2024-13820
Terms of use
CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "python310-numpy-1.26.2-5.1 on GA media", "title": "Title of the patch" }, { "category": "description", "text": "These are all security issues fixed in the python310-numpy-1.26.2-5.1 package on the GA media of openSUSE Tumbleweed.", "title": "Description of the patch" }, { "category": "details", "text": "openSUSE-Tumbleweed-2024-13820", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/opensuse-su-2024_13820-1.json" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" }, { "category": "self", "summary": "SUSE CVE CVE-2019-6446 page", "url": "https://www.suse.com/security/cve/CVE-2019-6446/" } ], "title": "python310-numpy-1.26.2-5.1 on GA media", "tracking": { "current_release_date": "2024-06-15T00:00:00Z", "generator": { "date": "2024-06-15T00:00:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "openSUSE-SU-2024:13820-1", "initial_release_date": "2024-06-15T00:00:00Z", "revision_history": [ { "date": "2024-06-15T00:00:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python310-numpy-1.26.2-5.1.aarch64", "product": { "name": "python310-numpy-1.26.2-5.1.aarch64", "product_id": "python310-numpy-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python310-numpy-devel-1.26.2-5.1.aarch64", "product": { "name": "python310-numpy-devel-1.26.2-5.1.aarch64", "product_id": "python310-numpy-devel-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy-1.26.2-5.1.aarch64", "product": { "name": "python311-numpy-1.26.2-5.1.aarch64", "product_id": "python311-numpy-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python311-numpy-devel-1.26.2-5.1.aarch64", "product": { "name": "python311-numpy-devel-1.26.2-5.1.aarch64", "product_id": "python311-numpy-devel-1.26.2-5.1.aarch64" } }, { "category": "product_version", "name": "python312-numpy-1.26.2-5.1.aarch64", "product": { "name": "python312-numpy-1.26.2-5.1.aarch64", "product_id": "python312-numpy-1.26.2-5.1.aarch64" } }, { "category": "product_version", 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"openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-devel-1.26.2-5.1.s390x as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x" }, "product_reference": "python312-numpy-devel-1.26.2-5.1.s390x", "relates_to_product_reference": "openSUSE Tumbleweed" }, { "category": "default_component_of", "full_product_name": { "name": "python312-numpy-devel-1.26.2-5.1.x86_64 as component of openSUSE Tumbleweed", "product_id": "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" }, "product_reference": "python312-numpy-devel-1.26.2-5.1.x86_64", "relates_to_product_reference": "openSUSE Tumbleweed" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", 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Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" }, { "cve": "CVE-2019-6446", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2019-6446" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2019-6446", "url": "https://www.suse.com/security/cve/CVE-2019-6446" }, { "category": "external", "summary": "SUSE Bug 1122208 for CVE-2019-6446", "url": "https://bugzilla.suse.com/1122208" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python310-numpy-devel-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python311-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python311-numpy-devel-1.26.2-5.1.aarch64", "openSUSE 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Tumbleweed:python312-numpy-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-1.26.2-5.1.x86_64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.aarch64", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.ppc64le", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.s390x", "openSUSE Tumbleweed:python312-numpy-devel-1.26.2-5.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2024-06-15T00:00:00Z", "details": "moderate" } ], "title": "CVE-2019-6446" } ] }
suse-ru-2017:3010-1
Vulnerability from csaf_suse
Published
2017-11-14 06:28
Modified
2017-11-14 06:28
Summary
Initial release of python-numpy for HPC (v1.13.3, gcc)
Notes
Title of the patch
Initial release of python-numpy for HPC (v1.13.3, gcc)
Description of the patch
This update introduces the NumPy packages version 1.13.3 built for
environment modules to the HPC (module FATE#321709).
NumPy is a general-purpose array-processing package for Python designed to
manipulate large multi-dimensional arrays of arbitrary records.
It also provides basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
Patchnames
SUSE-SLE-Module-HPC-12-2017-1865
Terms of use
CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "Initial release of python-numpy for HPC (v1.13.3, gcc)", "title": "Title of the patch" }, { "category": "description", "text": "\n \nThis update introduces the NumPy packages version 1.13.3 built for \nenvironment modules to the HPC (module FATE#321709).\n\nNumPy is a general-purpose array-processing package for Python designed to\nmanipulate large multi-dimensional arrays of arbitrary records.\n\nIt also provides basic facilities for discrete fourier transform,\nbasic linear algebra and random number generation.\n\n", "title": "Description of the patch" }, { "category": "details", "text": "SUSE-SLE-Module-HPC-12-2017-1865", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/suse-ru-2017_3010-1.json" }, { "category": "self", "summary": "URL for SUSE-RU-2017:3010-1", "url": "https://www.suse.com/support/update/announcement//suse-ru-20173010-1/" }, { "category": "self", "summary": "E-Mail link for SUSE-RU-2017:3010-1", "url": "https://lists.suse.com/pipermail/sle-updates/2017-November/007400.html" }, { "category": "self", "summary": "SUSE Bug 1053963", "url": "https://bugzilla.suse.com/1053963" }, { "category": "self", "summary": "SUSE Bug 1066748", "url": "https://bugzilla.suse.com/1066748" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" } ], "title": "Initial release of python-numpy for HPC (v1.13.3, gcc)", "tracking": { "current_release_date": "2017-11-14T06:28:00Z", "generator": { "date": "2017-11-14T06:28:00Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "SUSE-RU-2017:3010-1", "initial_release_date": "2017-11-14T06:28:00Z", "revision_history": [ { "date": "2017-11-14T06:28:00Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "product": { "name": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "product_id": "python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64" } }, { "category": "product_version", "name": "python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "product": { "name": 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"product_reference": "python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64" }, "product_reference": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" }, { "category": "default_component_of", "full_product_name": { "name": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64 as component of SUSE Linux Enterprise Module for HPC 12", "product_id": "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" }, "product_reference": "python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Module for HPC 12" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python2-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy-gnu-hpc-devel-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-1.13.3-4.6.1.x86_64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.aarch64", "SUSE Linux Enterprise Module for HPC 12:python3-numpy_1_13_3-gnu-hpc-devel-1.13.3-4.6.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2017-11-14T06:28:00Z", "details": "moderate" } ], "title": "CVE-2017-12852" } ] }
suse-su-2022:3954-1
Vulnerability from csaf_suse
Published
2022-11-11 11:03
Modified
2022-11-11 11:03
Summary
Security update for python-numpy
Notes
Title of the patch
Security update for python-numpy
Description of the patch
This update for python-numpy fixes the following issues:
- CVE-2017-12852: Fixed missing input validation leading to infinite loops (bsc#1053963).
Bugfixes:
- Use update-alternatives for /usr/bin/f2py (bsc#1199500).
Patchnames
SUSE-2022-3954,SUSE-SLE-SDK-12-SP5-2022-3954,SUSE-SLE-SERVER-12-SP5-2022-3954
Terms of use
CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
{ "document": { "aggregate_severity": { "namespace": "https://www.suse.com/support/security/rating/", "text": "moderate" }, "category": "csaf_security_advisory", "csaf_version": "2.0", "distribution": { "text": "Copyright 2024 SUSE LLC. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "summary", "text": "Security update for python-numpy", "title": "Title of the patch" }, { "category": "description", "text": "This update for python-numpy fixes the following issues:\n\n - CVE-2017-12852: Fixed missing input validation leading to infinite loops (bsc#1053963).\n\n Bugfixes:\n - Use update-alternatives for /usr/bin/f2py (bsc#1199500).\n", "title": "Description of the patch" }, { "category": "details", "text": "SUSE-2022-3954,SUSE-SLE-SDK-12-SP5-2022-3954,SUSE-SLE-SERVER-12-SP5-2022-3954", "title": "Patchnames" }, { "category": "legal_disclaimer", "text": "CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).", "title": "Terms of use" } ], "publisher": { "category": "vendor", "contact_details": "https://www.suse.com/support/security/contact/", "name": "SUSE Product Security Team", "namespace": "https://www.suse.com/" }, "references": [ { "category": "external", "summary": "SUSE ratings", "url": "https://www.suse.com/support/security/rating/" }, { "category": "self", "summary": "URL of this CSAF notice", "url": "https://ftp.suse.com/pub/projects/security/csaf/suse-su-2022_3954-1.json" }, { "category": "self", "summary": "URL for SUSE-SU-2022:3954-1", "url": "https://www.suse.com/support/update/announcement/2022/suse-su-20223954-1/" }, { "category": "self", "summary": "E-Mail link for SUSE-SU-2022:3954-1", "url": "https://lists.suse.com/pipermail/sle-updates/2022-November/026133.html" }, { "category": "self", "summary": "SUSE Bug 1053963", "url": "https://bugzilla.suse.com/1053963" }, { "category": "self", "summary": "SUSE Bug 1199500", "url": "https://bugzilla.suse.com/1199500" }, { "category": "self", "summary": "SUSE CVE CVE-2017-12852 page", "url": "https://www.suse.com/security/cve/CVE-2017-12852/" } ], "title": "Security update for python-numpy", "tracking": { "current_release_date": "2022-11-11T11:03:07Z", "generator": { "date": "2022-11-11T11:03:07Z", "engine": { "name": "cve-database.git:bin/generate-csaf.pl", "version": "1" } }, "id": "SUSE-SU-2022:3954-1", "initial_release_date": "2022-11-11T11:03:07Z", "revision_history": [ { "date": "2022-11-11T11:03:07Z", "number": "1", "summary": "Current version" } ], "status": "final", "version": "1" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version", "name": "python-numpy-1.8.0-5.19.1.aarch64", "product": { "name": "python-numpy-1.8.0-5.19.1.aarch64", "product_id": "python-numpy-1.8.0-5.19.1.aarch64" } }, { "category": "product_version", "name": "python-numpy-devel-1.8.0-5.19.1.aarch64", "product": { "name": "python-numpy-devel-1.8.0-5.19.1.aarch64", "product_id": "python-numpy-devel-1.8.0-5.19.1.aarch64" } } ], "category": "architecture", "name": "aarch64" }, { "branches": [ { "category": "product_version", "name": 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"python-numpy-1.8.0-5.19.1.aarch64 as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64" }, "product_reference": "python-numpy-1.8.0-5.19.1.aarch64", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.ppc64le as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le" }, "product_reference": "python-numpy-1.8.0-5.19.1.ppc64le", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.s390x as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x" }, "product_reference": "python-numpy-1.8.0-5.19.1.s390x", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" }, { "category": "default_component_of", "full_product_name": { "name": "python-numpy-1.8.0-5.19.1.x86_64 as component of SUSE Linux Enterprise Server for SAP Applications 12 SP5", "product_id": "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64" }, "product_reference": "python-numpy-1.8.0-5.19.1.x86_64", "relates_to_product_reference": "SUSE Linux Enterprise Server for SAP Applications 12 SP5" } ] }, "vulnerabilities": [ { "cve": "CVE-2017-12852", "ids": [ { "system_name": "SUSE CVE Page", "text": "https://www.suse.com/security/cve/CVE-2017-12852" } ], "notes": [ { "category": "general", "text": "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.", "title": "CVE description" } ], "product_status": { "recommended": [ "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" ] }, "references": [ { "category": "external", "summary": "CVE-2017-12852", "url": "https://www.suse.com/security/cve/CVE-2017-12852" }, { "category": "external", "summary": "SUSE Bug 1053963 for CVE-2017-12852", "url": "https://bugzilla.suse.com/1053963" } ], "remediations": [ { "category": "vendor_fix", "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n", "product_ids": [ "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" ] } ], "scores": [ { "cvss_v3": { "baseScore": 6.2, "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "products": [ "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-numpy-1.8.0-5.19.1.x86_64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.aarch64", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.ppc64le", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.s390x", "SUSE Linux Enterprise Software Development Kit 12 SP5:python-numpy-devel-1.8.0-5.19.1.x86_64" ] } ], "threats": [ { "category": "impact", "date": "2022-11-11T11:03:07Z", "details": "moderate" } ], "title": "CVE-2017-12852" } ] }
pysec-2017-1
Vulnerability from pysec
Published
2017-08-15 16:29
Modified
2021-06-29 22:52
Details
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.
Impacted products
Name | purl | numpy | pkg:pypi/numpy |
---|
Aliases
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "numpy", "purl": "pkg:pypi/numpy" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.13.3" } ], "type": "ECOSYSTEM" } ], "versions": [ "0.9.6", "0.9.8", "1.0", "1.0.3", "1.0.4", "1.0b1", "1.0b4", "1.0b5", "1.0rc1", "1.0rc2", "1.0rc3", "1.1.1", "1.10.0", "1.10.1", "1.10.2", "1.10.3", "1.10.4", "1.11.0", "1.11.1", "1.11.2", "1.11.3", "1.12.0", "1.12.1", "1.13.0", "1.13.0rc1", "1.13.0rc2", "1.13.1", "1.2.0", "1.2.1", "1.3.0", "1.4.0", "1.4.1", "1.5.0", "1.5.1", "1.6.0", "1.6.1", "1.6.2", "1.7.0", "1.7.1", "1.7.2", "1.8.0", "1.8.1", "1.8.2", "1.9.0", "1.9.1", "1.9.2", "1.9.3" ] } ], "aliases": [ "CVE-2017-12852", "GHSA-frgw-fgh6-9g52" ], "details": "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.", "id": "PYSEC-2017-1", "modified": "2021-06-29T22:52:17.919949Z", "published": "2017-08-15T16:29:00Z", "references": [ { "type": "REPORT", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "type": "WEB", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "type": "ADVISORY", "url": "https://github.com/advisories/GHSA-frgw-fgh6-9g52" } ] }
ghsa-frgw-fgh6-9g52
Vulnerability from github
Published
2022-05-13 01:42
Modified
2022-06-17 21:05
Severity ?
VLAI Severity ?
Summary
Numpy missing input validation
Details
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.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "numpy" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.13.3" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2017-12852" ], "database_specific": { "cwe_ids": [ "CWE-835" ], "github_reviewed": true, "github_reviewed_at": "2022-06-17T21:05:33Z", "nvd_published_at": "2017-08-15T16:29:00Z", "severity": "HIGH" }, "details": "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.", "id": "GHSA-frgw-fgh6-9g52", "modified": "2022-06-17T21:05:33Z", "published": "2022-05-13T01:42:46Z", "references": [ { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-12852" }, { "type": "WEB", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "type": "WEB", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "type": "ADVISORY", "url": "https://github.com/advisories/GHSA-frgw-fgh6-9g52" }, { "type": "PACKAGE", "url": "https://github.com/numpy/numpy" }, { "type": "WEB", "url": "https://github.com/numpy/numpy/releases/tag/v1.13.3" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2017-1.yaml" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "type": "CVSS_V3" } ], "summary": "Numpy missing input validation" }
gsd-2017-12852
Vulnerability from gsd
Modified
2023-12-13 01:21
Details
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.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2017-12852", "description": "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.", "id": "GSD-2017-12852", "references": [ "https://www.suse.com/security/cve/CVE-2017-12852.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2017-12852" ], "details": "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.", "id": "GSD-2017-12852", "modified": "2023-12-13T01:21:04.042974Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "cve@mitre.org", "ID": "CVE-2017-12852", "STATE": "PUBLIC" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "n/a", "version": { "version_data": [ { "version_value": "n/a" } ] } } ] }, "vendor_name": "n/a" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "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." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "n/a" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852", "refsource": "MISC", "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" }, { "name": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292", "refsource": "CONFIRM", "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" } ] } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c=1.13.1", "affected_versions": "All versions up to 1.13.1", "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-835", "CWE-937" ], "date": "2019-10-03", "description": "The `numpy.pad` function in Numpy versions is missing input validation. An empty list or array will stick into an infinite loop, which can allow attackers to cause a DoS attack.", "fixed_versions": [ "1.13.3" ], "identifier": "CVE-2017-12852", "identifiers": [ "CVE-2017-12852" ], "not_impacted": "All versions after 1.13.1", "package_slug": "pypi/numpy", "pubdate": "2017-08-15", "solution": "Upgrade to version 1.13.3 or above.", "title": "Loop with Unreachable Exit Condition (Infinite Loop)", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2017-12852" ], "uuid": "f125b90e-8699-4c05-b0f7-b170a52547a5" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndIncluding": "1.13.1", "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "cve@mitre.org", "ID": "CVE-2017-12852" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "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." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "CWE-835" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292", "refsource": "CONFIRM", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292" }, { "name": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852", "refsource": "MISC", "tags": [], "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": true, "cvssV2": { "accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 5.0, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 10.0, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "severity": "MEDIUM", "userInteractionRequired": false }, "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" }, "exploitabilityScore": 3.9, "impactScore": 3.6 } }, "lastModifiedDate": "2019-10-03T00:03Z", "publishedDate": "2017-08-15T16:29Z" } } }
fkie_cve-2017-12852
Vulnerability from fkie_nvd
Published
2017-08-15 16:29
Modified
2025-04-20 01:37
Severity ?
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
▶ | URL | Tags | |
---|---|---|---|
cve@mitre.org | https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852 | ||
cve@mitre.org | https://github.com/numpy/numpy/issues/9560#issuecomment-322395292 | Exploit, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852 | ||
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/numpy/numpy/issues/9560#issuecomment-322395292 | Exploit, Third Party Advisory |
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Sightings
Author | Source | Type | Date |
---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
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