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GHSA-8924-6725-H379

Vulnerability from github – Published: 2026-08-05 09:31 – Updated: 2026-08-05 09:31
VLAI
Details

The Stock-Inventory-Management-System application's login.php assigns raw $_POST username/password values to $_SESSION and builds its authentication query by directly concatenating those session values into a SQL statement with no parameterization or escaping. An unauthenticated remote attacker can submit a payload such as ' OR '1'='1 in the login form to bypass authentication entirely. The same script additionally contains hardcoded administrative credentials (admin/neola) in a post-login conditional check, providing a second, independent full-authentication-bypass path.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-71207"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-05T08:16:42Z",
    "severity": "CRITICAL"
  },
  "details": "The Stock-Inventory-Management-System application\u0027s login.php assigns raw $_POST username/password values to $_SESSION and builds its authentication query by directly concatenating those session values into a SQL statement with no parameterization or escaping. An unauthenticated remote attacker can submit a payload such as \u0027 OR \u00271\u0027=\u00271 in the login form to bypass authentication entirely. The same script additionally contains hardcoded administrative credentials (admin/neola) in a post-login conditional check, providing a second, independent full-authentication-bypass path.",
  "id": "GHSA-8924-6725-h379",
  "modified": "2026-08-05T09:31:18Z",
  "published": "2026-08-05T09:31:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71207"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mrswapnilsahu/Stock-Inventory-Management-System/blob/master/login.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"
    }
  ]
}



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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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