OESA-2022-1522 (CVE-2021-41495)

Vulnerability from osv_openeuler – Published: 2022-02-11 11:04 – Updated: 2026-08-06 11:04 – Source website
VLAI
Summary
numpy security update
Details

A fast multidimensional array facility for Python.

Security Fix(es):

Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays.(CVE-2021-41495)

An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."(CVE-2021-34141)


{
  "affected": [
    {
      "ecosystem_specific": {
        "aarch64": [
          "python3-numpy-1.16.5-6.oe1.aarch64.rpm",
          "python3-numpy-f2py-1.16.5-6.oe1.aarch64.rpm",
          "numpy-debuginfo-1.16.5-6.oe1.aarch64.rpm",
          "numpy-debugsource-1.16.5-6.oe1.aarch64.rpm",
          "python2-numpy-1.16.5-6.oe1.aarch64.rpm",
          "python2-numpy-f2py-1.16.5-6.oe1.aarch64.rpm"
        ],
        "src": [
          "numpy-1.16.5-6.oe1.src.rpm"
        ],
        "x86_64": [
          "numpy-debugsource-1.16.5-6.oe1.x86_64.rpm",
          "python3-numpy-1.16.5-6.oe1.x86_64.rpm",
          "python2-numpy-f2py-1.16.5-6.oe1.x86_64.rpm",
          "numpy-debuginfo-1.16.5-6.oe1.x86_64.rpm",
          "python2-numpy-1.16.5-6.oe1.x86_64.rpm",
          "python3-numpy-f2py-1.16.5-6.oe1.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:20.03-LTS-SP1",
        "name": "numpy",
        "purl": "pkg:rpm/openEuler/numpy\u0026distro=openEuler-20.03-LTS-SP1"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.16.5-6.oe1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "ecosystem_specific": {
        "aarch64": [
          "numpy-debuginfo-1.16.5-6.oe1.aarch64.rpm",
          "python2-numpy-1.16.5-6.oe1.aarch64.rpm",
          "python3-numpy-1.16.5-6.oe1.aarch64.rpm",
          "numpy-debugsource-1.16.5-6.oe1.aarch64.rpm",
          "python3-numpy-f2py-1.16.5-6.oe1.aarch64.rpm",
          "python2-numpy-f2py-1.16.5-6.oe1.aarch64.rpm"
        ],
        "src": [
          "numpy-1.16.5-6.oe1.src.rpm"
        ],
        "x86_64": [
          "python2-numpy-f2py-1.16.5-6.oe1.x86_64.rpm",
          "numpy-debuginfo-1.16.5-6.oe1.x86_64.rpm",
          "python3-numpy-1.16.5-6.oe1.x86_64.rpm",
          "python3-numpy-f2py-1.16.5-6.oe1.x86_64.rpm",
          "python2-numpy-1.16.5-6.oe1.x86_64.rpm",
          "numpy-debugsource-1.16.5-6.oe1.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:20.03-LTS-SP2",
        "name": "numpy",
        "purl": "pkg:rpm/openEuler/numpy\u0026distro=openEuler-20.03-LTS-SP2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.16.5-6.oe1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "ecosystem_specific": {
        "aarch64": [
          "python2-numpy-1.16.5-6.oe1.aarch64.rpm",
          "numpy-debugsource-1.16.5-6.oe1.aarch64.rpm",
          "numpy-debuginfo-1.16.5-6.oe1.aarch64.rpm",
          "python3-numpy-1.16.5-6.oe1.aarch64.rpm",
          "python2-numpy-f2py-1.16.5-6.oe1.aarch64.rpm",
          "python3-numpy-f2py-1.16.5-6.oe1.aarch64.rpm"
        ],
        "src": [
          "numpy-1.16.5-6.oe1.src.rpm"
        ],
        "x86_64": [
          "python2-numpy-f2py-1.16.5-6.oe1.x86_64.rpm",
          "numpy-debuginfo-1.16.5-6.oe1.x86_64.rpm",
          "numpy-debugsource-1.16.5-6.oe1.x86_64.rpm",
          "python2-numpy-1.16.5-6.oe1.x86_64.rpm",
          "python3-numpy-f2py-1.16.5-6.oe1.x86_64.rpm",
          "python3-numpy-1.16.5-6.oe1.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:20.03-LTS-SP3",
        "name": "numpy",
        "purl": "pkg:rpm/openEuler/numpy\u0026distro=openEuler-20.03-LTS-SP3"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.16.5-6.oe1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "severity": "High"
  },
  "details": "A fast multidimensional array facility for Python.\r\n\r\nSecurity Fix(es):\r\n\r\nNull Pointer Dereference vulnerability exists in numpy.sort in NumPy \u0026amp;lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays.(CVE-2021-41495)\r\n\r\nAn incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is \u0026quot;completely harmless.\u0026quot;(CVE-2021-34141)",
  "id": "OESA-2022-1522",
  "modified": "2026-08-06T11:04:48Z",
  "published": "2022-02-11T11:04:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://www.openeuler.org/en/security/safety-bulletin/detail.html?id=openEuler-SA-2022-1522"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41495"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-34141"
    }
  ],
  "schema_version": "1.7.2",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "numpy security update",
  "upstream": [
    "CVE-2021-41495",
    "CVE-2021-34141"
  ]
}



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