GHSA-6CJ6-2FG2-2R4G

Vulnerability from github – Published: 2026-06-16 15:33 – Updated: 2026-06-16 15:33
VLAI
Details

A session fixation vulnerability has been identified in osTicket v1.18.2. This security flaw allows an attacker to hijack a victim’s account by keeping the initial session identifier (OSTSESSID) active after a successful login.

The issue lies in the fact that the application does not invalidate the pre-authentication cookie or generate a new identifier for the authenticated context. As a result, if an attacker manages to set a known session identifier in the victim’s browser, they will be able to maintain unauthorised access to the account once the victim has authenticated.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-9507"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-38"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-16T13:16:38Z",
    "severity": "MODERATE"
  },
  "details": "A session fixation vulnerability has been identified in osTicket v1.18.2. This security flaw allows an attacker to hijack a victim\u2019s account by keeping the initial session identifier (OSTSESSID) active after a successful login.\n\n\n\nThe issue lies in the fact that the application does not invalidate the pre-authentication cookie or generate a new identifier for the authenticated context. As a result, if an attacker manages to set a known session identifier in the victim\u2019s browser, they will be able to maintain unauthorised access to the account once the victim has authenticated.",
  "id": "GHSA-6cj6-2fg2-2r4g",
  "modified": "2026-06-16T15:33:50Z",
  "published": "2026-06-16T15:33:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-9507"
    },
    {
      "type": "WEB",
      "url": "https://www.incibe.es/en/incibe-cert/notices/aviso/session-fixation-vulnerability-enhancesofts-osticket"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:L/VI:L/VA:N/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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