GHSA-9JR8-Q773-X8PC

Vulnerability from github – Published: 2022-05-17 05:53 – Updated: 2024-02-14 18:30
VLAI
Details

The arc4random function in the kernel in FreeBSD 6.3 through 7.1 does not have a proper entropy source for a short time period immediately after boot, which makes it easier for attackers to predict the function's return values and conduct certain attacks against the GEOM framework and various network protocols, related to the Yarrow random number generator.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2008-5162"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-330"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2008-11-26T23:30:00Z",
    "severity": "MODERATE"
  },
  "details": "The arc4random function in the kernel in FreeBSD 6.3 through 7.1 does not have a proper entropy source for a short time period immediately after boot, which makes it easier for attackers to predict the function\u0027s return values and conduct certain attacks against the GEOM framework and various network protocols, related to the Yarrow random number generator.",
  "id": "GHSA-9jr8-q773-x8pc",
  "modified": "2024-02-14T18:30:23Z",
  "published": "2022-05-17T05:53:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2008-5162"
    },
    {
      "type": "WEB",
      "url": "http://osvdb.org/50137"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/32871"
    },
    {
      "type": "WEB",
      "url": "http://security.freebsd.org/advisories/FreeBSD-SA-08:11.arc4random.asc"
    },
    {
      "type": "WEB",
      "url": "http://securitytracker.com/id?1021276"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/32447"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}


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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.

Sightings

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Nomenclature

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