pysec-2019-108
Vulnerability from pysec
Published
2019-01-16 05:29
Modified
2019-10-01 00:15
Details

** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

Impacted products
Name purl
numpy pkg:pypi/numpy
Aliases


To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "numpy",
        "purl": "pkg:pypi/numpy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.16.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.9.6",
        "0.9.8",
        "1.0b1",
        "1.0b4",
        "1.0b5",
        "1.0rc1",
        "1.0rc2",
        "1.0rc3",
        "1.0",
        "1.0.3",
        "1.0.4",
        "1.1.1",
        "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",
        "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",
        "1.13.0rc1",
        "1.13.0rc2",
        "1.13.0",
        "1.13.1",
        "1.13.3",
        "1.14.0rc1",
        "1.14.0",
        "1.14.1",
        "1.14.2",
        "1.14.3",
        "1.14.4",
        "1.14.5",
        "1.14.6",
        "1.15.0rc1",
        "1.15.0rc2",
        "1.15.0",
        "1.15.1",
        "1.15.2",
        "1.15.3",
        "1.15.4",
        "1.16.0rc1",
        "1.16.0rc2",
        "1.16.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2019-6446"
  ],
  "details": "** DISPUTED **   An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is  a behavior that might have legitimate applications in (for example)  loading serialized Python object arrays from trusted and authenticated  sources.",
  "id": "PYSEC-2019-108",
  "modified": "2019-10-01T00:15:00Z",
  "published": "2019-01-16T05:29:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://github.com/numpy/numpy/issues/12759"
    },
    {
      "type": "REPORT",
      "url": "https://bugzilla.suse.com/show_bug.cgi?id=1122208"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/106670"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html"
    },
    {
      "type": "ADVISORY",
      "url": "https://access.redhat.com/errata/RHSA-2019:3335"
    },
    {
      "type": "ADVISORY",
      "url": "https://access.redhat.com/errata/RHSA-2019:3704"
    }
  ]
}


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