GHSA-RFWP-C2WC-RQP4

Vulnerability from github – Published: 2026-10-12 03:32 – Updated: 2026-10-12 03:32
VLAI
Details

GV-E-Map Server V18.2.0A contains a plaintext database password embedded within an application component. The credential can be recovered through static analysis of the distributed binary and may also be exposed in process memory during runtime.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-107437"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-798"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-12T03:17:17Z",
    "severity": "MODERATE"
  },
  "details": "GV-E-Map\nServer V18.2.0A contains a plaintext database password embedded within an\napplication component. The credential can be recovered through static analysis\nof the distributed binary and may also be exposed in process memory during\nruntime.",
  "id": "GHSA-rfwp-c2wc-rqp4",
  "modified": "2026-10-12T03:32:55Z",
  "published": "2026-10-12T03:32:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-107437"
    },
    {
      "type": "WEB",
      "url": "https://www.geovision.com.tw/cyber_security.php"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}



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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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Related by attack behaviour

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