GHSA-G954-97W2-99WV

Vulnerability from github – Published: 2026-08-29 00:31 – Updated: 2026-08-29 00:31
VLAI
Details

A database user able to create a view in a namespace that MongoDB Connector for BI samples can cause the schema-sampling routine to stop functioning by defining a view whose evaluation reliably fails. The sampling logic classifies the resulting server message as transient and, after the configured retries are exhausted, proceeds without a valid result, ending the schema refresh routine. The mongosqld process continues running without a usable schema, so SQL clients are unable to obtain results until an operator removes the view or excludes its namespace from sampling.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-81490"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-28T22:16:54Z",
    "severity": "HIGH"
  },
  "details": "A database user able to create a view in a namespace that MongoDB Connector for BI samples can cause the schema-sampling routine to stop functioning by defining a view whose evaluation reliably fails. The sampling logic classifies the resulting server message as transient and, after the configured retries are exhausted, proceeds without a valid result, ending the schema refresh routine. The mongosqld process continues running without a usable schema, so SQL clients are unable to obtain results until an operator removes the view or excludes its namespace from sampling.",
  "id": "GHSA-g954-97w2-99wv",
  "modified": "2026-08-29T00:31:03Z",
  "published": "2026-08-29T00:31:03Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-81490"
    },
    {
      "type": "WEB",
      "url": "https://www.mongodb.com/docs/bi-connector/current/release-notes"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:H/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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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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