rhsa-2019_3704
Vulnerability from csaf_redhat
Published
2019-11-05 22:28
Modified
2024-11-22 12:56
Summary
Red Hat Security Advisory: numpy security update

Notes

Topic
An update for numpy is now available for Red Hat Enterprise Linux 8. Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details
The numpy packages provide NumPY. NumPY is an extension to the Python programming language, which adds support for large, multi-dimensional arrays and matrices, and a library of mathematical functions that operate on such arrays. Security Fix(es): * numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution (CVE-2019-6446) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section. Additional Changes: For detailed information on changes in this release, see the Red Hat Enterprise Linux 8.1 Release Notes linked from the References section.
Terms of Use
This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.


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  },
  "vulnerabilities": [
    {
      "cve": "CVE-2019-6446",
      "cwe": {
        "id": "CWE-20",
        "name": "Improper Input Validation"
      },
      "discovery_date": "2019-01-16T00:00:00+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "1667950"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is  a behavior that might have legitimate applications in (for example)  loading serialized Python object arrays from trusted and authenticated  sources",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Red Hat Enterprise Virtualization Management Appliance includes the vulnerable version of numpy, however it is not used and this vulnerability is not exposed.\n\nRed Hat OpenStack Platform includes a vulnerable version of numpy, however it is not used in a vulnerable manner.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2019-6446"
        },
        {
          "category": "external",
          "summary": "RHBZ#1667950",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1667950"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2019-6446",
          "url": "https://www.cve.org/CVERecord?id=CVE-2019-6446"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2019-6446",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-6446"
        }
      ],
      "release_date": "2019-01-16T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2019-11-05T22:28:56+00:00",
          "details": "For details on how to apply this update, which includes the changes described in this advisory, refer to:\n\nhttps://access.redhat.com/articles/11258",
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          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2019:3704"
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.0"
          },
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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "title": "numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution"
    }
  ]
}


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