GHSA-R3FX-HV2G-J24Q

Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-10 15:33
VLAI
Details

ReadyEcommerce before 4.5.2 contains an unauthenticated SQL injection vulnerability in the product listing API where the rating parameter from the products endpoint is concatenated directly into a MySQL HAVING clause without parameterization in ProductController.php. Attackers can perform time-based blind SQL injection through the unsanitized rating parameter to extract the full database contents, including user credentials and administrator password hashes, with potential additional file system access due to the database connection running as root.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-63106"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-10T14:17:25Z",
    "severity": "CRITICAL"
  },
  "details": "ReadyEcommerce before 4.5.2 contains an unauthenticated SQL injection vulnerability in the product listing API where the rating parameter from the products endpoint is concatenated directly into a MySQL HAVING clause without parameterization in ProductController.php. Attackers can perform time-based blind SQL injection through the unsanitized rating parameter to extract the full database contents, including user credentials and administrator password hashes, with potential additional file system access due to the database connection running as root.",
  "id": "GHSA-r3fx-hv2g-j24q",
  "modified": "2026-08-10T15:33:51Z",
  "published": "2026-08-10T15:33:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-63106"
    },
    {
      "type": "WEB",
      "url": "https://codecanyon.net/item/ready-ecommerce-complete-multi-vendor-ecommerce-mobile-app-website-rider-app-with-seller-app/52519302"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/readyecommerce-unauthenticated-sql-injection-via-productcontroller-php"
    }
  ],
  "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:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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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