GHSA-CRG2-5P28-WQHM

Vulnerability from github – Published: 2022-05-17 05:28 – Updated: 2025-04-11 03:58
VLAI?
Details

Multiple buffer overflows in Spamdyke before 4.3.0 might allow remote attackers to execute arbitrary code via vectors related to "serious errors in the usage of snprintf()/vsnprintf()" in which the return values may be larger than the size of the buffer.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2012-0802"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2012-06-19T20:55:00Z",
    "severity": "HIGH"
  },
  "details": "Multiple buffer overflows in Spamdyke before 4.3.0 might allow remote attackers to execute arbitrary code via vectors related to \"serious errors in the usage of snprintf()/vsnprintf()\" in which the return values may be larger than the size of the buffer.",
  "id": "GHSA-crg2-5p28-wqhm",
  "modified": "2025-04-11T03:58:35Z",
  "published": "2022-05-17T05:28:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2012-0802"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/47548"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/48257"
    },
    {
      "type": "WEB",
      "url": "http://security.gentoo.org/glsa/glsa-201203-01.xml"
    },
    {
      "type": "WEB",
      "url": "http://www.mail-archive.com/spamdyke-release%40spamdyke.org/msg00014.html"
    },
    {
      "type": "WEB",
      "url": "http://www.mail-archive.com/spamdyke-release@spamdyke.org/msg00014.html"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2012/01/23/5"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/78351"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/51440"
    },
    {
      "type": "WEB",
      "url": "http://www.spamdyke.org/documentation/Changelog.txt"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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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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