usn-3199-1
Vulnerability from osv_ubuntu
Published
2017-02-16 23:52
Modified
2026-02-10 04:41
Summary
Python Crypto vulnerability
Details

It was discovered that the ALGnew function in block_templace.c in the Python Cryptography Toolkit contained a heap-based buffer overflow vulnerability. A remote attacker could use this flaw to execute arbitrary code by using a crafted initialization vector parameter.


{
  "affected": [
    {
      "database_specific": {
        "cves_map": {
          "cves": [
            {
              "id": "CVE-2013-7459",
              "severity": [
                {
                  "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                  "type": "CVSS_V3"
                },
                {
                  "score": "medium",
                  "type": "Ubuntu"
                }
              ]
            }
          ],
          "ecosystem": "Ubuntu:14.04:LTS"
        }
      },
      "ecosystem_specific": {
        "availability": "No subscription required",
        "binaries": [
          {
            "binary_name": "python-crypto",
            "binary_version": "2.6.1-4ubuntu0.1"
          },
          {
            "binary_name": "python3-crypto",
            "binary_version": "2.6.1-4ubuntu0.1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:14.04:LTS",
        "name": "python-crypto",
        "purl": "pkg:deb/ubuntu/python-crypto@2.6.1-4ubuntu0.1?arch=source\u0026distro=trusty"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.6.1-4ubuntu0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6-5",
        "2.6.1-2",
        "2.6.1-2build1",
        "2.6.1-3",
        "2.6.1-4",
        "2.6.1-4build1"
      ]
    },
    {
      "database_specific": {
        "cves_map": {
          "cves": [
            {
              "id": "CVE-2013-7459",
              "severity": [
                {
                  "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                  "type": "CVSS_V3"
                },
                {
                  "score": "medium",
                  "type": "Ubuntu"
                }
              ]
            }
          ],
          "ecosystem": "Ubuntu:16.04:LTS"
        }
      },
      "ecosystem_specific": {
        "availability": "No subscription required",
        "binaries": [
          {
            "binary_name": "python-crypto",
            "binary_version": "2.6.1-6ubuntu0.16.04.1"
          },
          {
            "binary_name": "python3-crypto",
            "binary_version": "2.6.1-6ubuntu0.16.04.1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:16.04:LTS",
        "name": "python-crypto",
        "purl": "pkg:deb/ubuntu/python-crypto@2.6.1-6ubuntu0.16.04.1?arch=source\u0026distro=xenial"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.6.1-6ubuntu0.16.04.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.1-5build1",
        "2.6.1-6",
        "2.6.1-6build1"
      ]
    }
  ],
  "aliases": [],
  "details": "It was discovered that the ALGnew function in block_templace.c in the Python\nCryptography Toolkit contained a heap-based buffer overflow vulnerability.\nA remote attacker could use this flaw to execute arbitrary code by using\na crafted initialization vector parameter.\n",
  "id": "USN-3199-1",
  "modified": "2026-02-10T04:41:05Z",
  "published": "2017-02-16T23:52:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://ubuntu.com/security/notices/USN-3199-1"
    },
    {
      "type": "REPORT",
      "url": "https://ubuntu.com/security/CVE-2013-7459"
    }
  ],
  "related": [],
  "schema_version": "1.7.0",
  "summary": "Python Crypto vulnerability",
  "upstream": [
    "UBUNTU-CVE-2013-7459"
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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Nomenclature

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