GHSA-8RVH-X87Q-RM2P

Vulnerability from github – Published: 2026-10-05 18:34 – Updated: 2026-10-05 18:34
VLAI
Details

FacturaScripts before version 2026.7 contains a PHP object injection vulnerability in WidgetSelect::processFormData() that allows authenticated attackers to trigger unserialize() on raw POST data without an allowed_classes filter for multiple-select fields. Attackers can submit a serialized XLSXWriter object as the field value to invoke its __destruct() method, deleting arbitrary attacker-specified files such as config.php or backup data, resulting in denial of service and potential application reinstall hijack.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-104905"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-05T18:17:31Z",
    "severity": "MODERATE"
  },
  "details": "FacturaScripts before version 2026.7 contains a PHP object injection vulnerability in WidgetSelect::processFormData() that allows authenticated attackers to trigger unserialize() on raw POST data without an allowed_classes filter for multiple-select fields. Attackers can submit a serialized XLSXWriter object as the field value to invoke its __destruct() method, deleting arbitrary attacker-specified files such as config.php or backup data, resulting in denial of service and potential application reinstall hijack.",
  "id": "GHSA-8rvh-x87q-rm2p",
  "modified": "2026-10-05T18:34:22Z",
  "published": "2026-10-05T18:34:22Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/NeoRazorX/facturascripts/security/advisories/GHSA-p89j-gj6f-fh6g"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-104905"
    },
    {
      "type": "WEB",
      "url": "https://github.com/NeoRazorX/facturascripts/releases/tag/v2026.7"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/facturascripts-php-object-injection-via-widgetselect"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/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.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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Related by attack behaviour

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