GHSA-CJF9-HGP6-3H22

Vulnerability from github – Published: 2026-07-29 15:31 – Updated: 2026-07-29 15:31
VLAI
Details

A Blind SQL injection vulnerability has been identified in Quick.CMS. Improper neutralization of input provided by a high-privileged user into multiple fields in administration panel allows for Blind SQL Injection attacks.

The vendor states that this administration panel already allows for significant modification capabilities. The SQL injection vulnerability primarily enables bypassing front-end validation controls and potential database destruction. Given the trust model in which this application is designed to be administered, remediation of this issue was not deemed necessary by the vendor.

This vulnerability has been found in version 6.8, but other versions might also be vulnerable.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-33385"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-29T13:18:08Z",
    "severity": "MODERATE"
  },
  "details": "A Blind SQL injection vulnerability has been identified in Quick.CMS. Improper neutralization of input provided by a high-privileged user into multiple fields in administration panel allows for Blind SQL Injection attacks.\n\nThe vendor states that this administration panel already allows for significant modification capabilities. The SQL injection vulnerability primarily enables bypassing front-end validation controls and potential database destruction. Given the trust model in which this application is designed to be administered, remediation of this issue was not deemed necessary by the vendor.\n\n\n\n\nThis vulnerability has been found in version 6.8, but other versions might also be vulnerable.",
  "id": "GHSA-cjf9-hgp6-3h22",
  "modified": "2026-07-29T15:31:11Z",
  "published": "2026-07-29T15:31:10Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33385"
    },
    {
      "type": "WEB",
      "url": "https://cert.pl/posts/2026/07/CVE-2026-33385"
    },
    {
      "type": "WEB",
      "url": "https://opensolution.org/home.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:N/VI:L/VA:L/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

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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