GHSA-5PHG-FMWX-665V

Vulnerability from github – Published: 2026-08-28 21:31 – Updated: 2026-08-28 21:31
VLAI
Details

The MongoSQL Transition Readiness Tool writes query text and user names read from BI Connector log files into its generated HTML report without encoding them for that output context. A user able to issue queries through the BI Connector can influence log content so that markup supplied in a query is interpreted by the browser when an operator later generates and opens the report, which may disclose other users' logged query text and user names to an external party or present misleading content to the operator. Generating a report over logs containing the affected entries and opening that report in a browser is required.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-76798"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-28T20:19:55Z",
    "severity": "MODERATE"
  },
  "details": "The MongoSQL Transition Readiness Tool writes query text and user names read from BI Connector log files into its generated HTML report without encoding them for that output context. A user able to issue queries through the BI Connector can influence log content so that markup supplied in a query is interpreted by the browser when an operator later generates and opens the report, which may disclose other users\u0027 logged query text and user names to an external party or present misleading content to the operator. Generating a report over logs containing the affected entries and opening that report in a browser is required.",
  "id": "GHSA-5phg-fmwx-665v",
  "modified": "2026-08-28T21:31:17Z",
  "published": "2026-08-28T21:31:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-76798"
    },
    {
      "type": "WEB",
      "url": "https://www.mongodb.com/docs/sql-interface/changelog"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:H/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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