GHSA-WRM6-GM2G-4HGX

Vulnerability from github – Published: 2026-09-28 15:31 – Updated: 2026-09-28 15:31
VLAI
Details

Dayforce Payroll is vulnerable to Time Based-Blind SQL Injection in password recovery functionality. The unauthenticated attacker can prepare GET request with one of the parameters filled in with an arbitrary SQL query. The parameter is interpreted as part of SQL predicate resulting in Time-Based Blind SQL Injection. Because vendor contact attempts were unsuccessful, the vulnerability has only been confirmed in version R2026.2.0 but may also affect other versions.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-73640"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-28T14:17:16Z",
    "severity": "CRITICAL"
  },
  "details": "Dayforce Payroll is vulnerable to Time Based-Blind SQL Injection in password recovery functionality. The unauthenticated attacker can prepare GET request with one of the parameters filled in with an arbitrary SQL query. The parameter is interpreted as part of SQL predicate resulting in Time-Based Blind SQL Injection.\nBecause vendor contact attempts were unsuccessful, the vulnerability has only been confirmed in version\u00a0R2026.2.0 but may also affect other versions.",
  "id": "GHSA-wrm6-gm2g-4hgx",
  "modified": "2026-09-28T15:31:53Z",
  "published": "2026-09-28T15:31:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-73640"
    },
    {
      "type": "WEB",
      "url": "https://cert.pl/en/posts/2026/09/CVE-2026-73640"
    },
    {
      "type": "WEB",
      "url": "https://www.dayforce.com/how-we-help/dayforce/payroll-solutions"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/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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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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