{
  "GSD": {
    "alias": "CVE-2021-41496",
    "description": "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.",
    "id": "GSD-2021-41496",
    "references": [
      "https://www.suse.com/security/cve/CVE-2021-41496.html",
      "https://advisories.mageia.org/CVE-2021-41496.html",
      "https://access.redhat.com/errata/RHSA-2022:0987",
      "https://access.redhat.com/errata/RHSA-2022:1000",
      "https://ubuntu.com/security/CVE-2021-41496"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
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      "details": "** DISPUTED ** 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).",
      "id": "GSD-2021-41496",
      "modified": "2023-12-13T01:23:27.610736Z",
      "schema_version": "1.4.0"
    }
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        "ID": "CVE-2021-41496",
        "STATE": "PUBLIC"
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        "reference_data": [
          {
            "name": "https://github.com/numpy/numpy/issues/19000",
            "refsource": "MISC",
            "url": "https://github.com/numpy/numpy/issues/19000"
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      "advisories": [
        {
          "affected_range": "\u003c1.19.0",
          "affected_versions": "All versions before 1.19.0",
          "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-120",
            "CWE-937"
          ],
          "date": "2021-12-27",
          "description": "Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values.",
          "fixed_versions": [
            "1.19.0"
          ],
          "identifier": "CVE-2021-41496",
          "identifiers": [
            "CVE-2021-41496"
          ],
          "not_impacted": "All versions starting from 1.19.0",
          "package_slug": "pypi/numpy",
          "pubdate": "2021-12-17",
          "solution": "Upgrade to version 1.19.0 or above.",
          "title": "Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2021-41496",
            "https://github.com/numpy/numpy/issues/19000"
          ],
          "uuid": "1f45ab4c-a49f-46c4-a3ec-7dab816d24d8"
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                    "criteria": "cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*",
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            "lang": "en",
            "value": "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)"
          },
          {
            "lang": "es",
            "value": "** EN DISPUTA ** Un desbordamiento de b\u00fafer en la funci\u00f3n array_from_pyobj del archivo fortranobject.c en NumPy versiones anteriores a 1.19, que permite a atacantes realizar un ataque de denegaci\u00f3n de servicio al construir cuidadosamente un array con valores negativos. NOTA: El proveedor no est\u00e1 de acuerdo en que esto sea una vulnerabilidad; las dimensiones negativas s\u00f3lo pueden ser creadas por un usuario ya privilegiado (o internamente)"
          }
        ],
        "id": "CVE-2021-41496",
        "lastModified": "2024-04-11T01:13:00.300",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "LOW",
              "cvssData": {
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                "accessVector": "LOCAL",
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              "exploitabilityScore": 3.9,
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              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
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                "baseScore": 5.5,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
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                "scope": "UNCHANGED",
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        "published": "2021-12-17T20:15:08.517",
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            "source": "cve@mitre.org",
            "tags": [
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              "Third Party Advisory"
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            "url": "https://github.com/numpy/numpy/issues/19000"
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            "tags": [
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            "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
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