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GHSA-5QC9-C8X2-67JW

Vulnerability from github – Published: 2022-05-14 03:15 – Updated: 2022-05-14 03:15
VLAI
Details

An issue was discovered in the MULTIDOTS Woo Checkout for Digital Goods plugin 2.1 for WordPress. If an admin user can be tricked into visiting a crafted URL created by an attacker (via spear phishing/social engineering), the attacker can change the plugin settings. The function woo_checkout_settings_page in the file class-woo-checkout-for-digital-goods-admin.php doesn't do any check against wp-admin/admin-post.php Cross-site request forgery (CSRF) and user capabilities.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-11633"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-05-31T20:29:00Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in the MULTIDOTS Woo Checkout for Digital Goods plugin 2.1 for WordPress. If an admin user can be tricked into visiting a crafted URL created by an attacker (via spear phishing/social engineering), the attacker can change the plugin settings. The function woo_checkout_settings_page in the file class-woo-checkout-for-digital-goods-admin.php doesn\u0027t do any check against wp-admin/admin-post.php Cross-site request forgery (CSRF) and user capabilities.",
  "id": "GHSA-5qc9-c8x2-67jw",
  "modified": "2022-05-14T03:15:12Z",
  "published": "2022-05-14T03:15:12Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-11633"
    },
    {
      "type": "WEB",
      "url": "https://wordpress.org/plugins/woo-checkout-for-digital-goods/#developers"
    },
    {
      "type": "WEB",
      "url": "http://labs.threatpress.com/cross-site-request-forgery-csrf-in-woo-checkout-for-digital-goods-plugin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/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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