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GHSA-XF4F-QJ26-72PF

Vulnerability from github – Published: 2026-02-20 18:31 – Updated: 2026-02-23 21:31
VLAI
Details

A Host Header Poisoning vulnerability exists in Monica 4.1.2 due to improper handling of the HTTP Host header in app/Providers/AppServiceProvider.php, combined with the default misconfiguration where the "app.force_url" is not set and default is "false". The application generates absolute URLs (such as those used in password reset emails) using the user-supplied Host header. This allows remote attackers to poison the password reset link sent to a victim,

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-26747"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-644"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-20T17:25:56Z",
    "severity": "CRITICAL"
  },
  "details": "A Host Header Poisoning vulnerability exists in Monica 4.1.2 due to improper handling of the HTTP Host header in app/Providers/AppServiceProvider.php, combined with the default misconfiguration where the \"app.force_url\" is not set and default is \"false\". The application generates absolute URLs (such as those used in password reset emails) using the user-supplied Host header. This allows remote attackers to poison the password reset link sent to a victim,",
  "id": "GHSA-xf4f-qj26-72pf",
  "modified": "2026-02-23T21:31:24Z",
  "published": "2026-02-20T18:31:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-26747"
    },
    {
      "type": "WEB",
      "url": "https://github.com/hungnqdz/cve-research/blob/main/CVE-2026-26747.md"
    },
    {
      "type": "WEB",
      "url": "https://github.com/monicahq/monica"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
      "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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Related by attack behaviour

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