GHSA-3R97-XP9V-83JF

Vulnerability from github – Published: 2022-11-02 19:00 – Updated: 2025-05-05 15:30
VLAI
Details

Sudo 1.8.0 through 1.9.12, with the crypt() password backend, contains a plugins/sudoers/auth/passwd.c array-out-of-bounds error that can result in a heap-based buffer over-read. This can be triggered by arbitrary local users with access to Sudo by entering a password of seven characters or fewer. The impact could vary depending on the compiler and processor architecture.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-43995"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-11-02T14:15:00Z",
    "severity": "HIGH"
  },
  "details": "Sudo 1.8.0 through 1.9.12, with the crypt() password backend, contains a plugins/sudoers/auth/passwd.c array-out-of-bounds error that can result in a heap-based buffer over-read. This can be triggered by arbitrary local users with access to Sudo by entering a password of seven characters or fewer. The impact could vary depending on the compiler and processor architecture.",
  "id": "GHSA-3r97-xp9v-83jf",
  "modified": "2025-05-05T15:30:38Z",
  "published": "2022-11-02T19:00:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-43995"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sudo-project/sudo/commit/bd209b9f16fcd1270c13db27ae3329c677d48050"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2139911"
    },
    {
      "type": "WEB",
      "url": "https://news.ycombinator.com/item?id=33465707"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202211-08"
    },
    {
      "type": "WEB",
      "url": "https://www.sudo.ws/security/advisories"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/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.

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