GHSA-HX5M-V9RJ-H34V

Vulnerability from github – Published: 2026-08-14 18:31 – Updated: 2026-08-14 18:31
VLAI
Details

Nozomi Networks Labs identified a CWE-352: Cross-Site Request Forgery (CSRF) vulnerability in the web-based configuration backend of KUNBUS PiCtory in version 2.16.0 that allows a remote unauthenticated attacker to perform state-changing operations in the context of an authenticated operator, including deletion of project and configuration files and reset of the control runtime, by inducing the victim's browser to submit crafted requests.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-57469"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-14T16:16:58Z",
    "severity": "MODERATE"
  },
  "details": "Nozomi Networks Labs identified a CWE-352: Cross-Site Request Forgery (CSRF) vulnerability in the web-based configuration backend of KUNBUS PiCtory in version 2.16.0 that allows a remote unauthenticated attacker to perform state-changing operations in the context of an authenticated operator, including deletion of project and configuration files and reset of the control runtime, by inducing the victim\u0027s browser to submit crafted requests.",
  "id": "GHSA-hx5m-v9rj-h34v",
  "modified": "2026-08-14T18:31:38Z",
  "published": "2026-08-14T18:31:38Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-57469"
    },
    {
      "type": "WEB",
      "url": "https://www.nozominetworks.com/labs/vulnerability-advisories-cve-2026-57469"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:N/VI:L/VA:L/SC:N/SI:N/SA:L/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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