GHSA-RQ8Q-222J-MVV2

Vulnerability from github – Published: 2022-05-03 03:17 – Updated: 2022-05-03 03:17
VLAI
Details

Buffer overflow in bos.rte.libc in IBM AIX 5.2 and 5.3 allows local users to execute arbitrary code via the "r-commands", possibly including (1) rdist, (2) rsh, (3) rcp, (4) rsync, and (5) rlogin.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2007-0670"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2007-02-03T00:28:00Z",
    "severity": "MODERATE"
  },
  "details": "Buffer overflow in bos.rte.libc in IBM AIX 5.2 and 5.3 allows local users to execute arbitrary code via the \"r-commands\", possibly including (1) rdist, (2) rsh, (3) rcp, (4) rsync, and (5) rlogin.",
  "id": "GHSA-rq8q-222j-mvv2",
  "modified": "2022-05-03T03:17:55Z",
  "published": "2022-05-03T03:17:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2007-0670"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/32184"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/23995"
    },
    {
      "type": "WEB",
      "url": "http://securitytracker.com/id?1017583"
    },
    {
      "type": "WEB",
      "url": "http://securitytracker.com/id?1017607"
    },
    {
      "type": "WEB",
      "url": "http://www-1.ibm.com/support/docview.wss?uid=isg1IY94301"
    },
    {
      "type": "WEB",
      "url": "http://www-1.ibm.com/support/docview.wss?uid=isg1IY94368"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/31696"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/22370"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/22456"
    },
    {
      "type": "WEB",
      "url": "http://www.vupen.com/english/advisories/2007/0471"
    }
  ],
  "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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