GHSA-25HC-2P68-QC2G

Vulnerability from github – Published: 2025-02-27 18:31 – Updated: 2025-02-27 18:31
VLAI
Details

MongoDB Compass may be susceptible to local privilege escalation under certain conditions potentially enabling unauthorized actions on a user's system with elevated privileges, when a crafted file is stored in C:\node_modules. This issue affects MongoDB Compass prior to 1.42.1

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-1755"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-426"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-02-27T16:15:39Z",
    "severity": "HIGH"
  },
  "details": "MongoDB Compass may be susceptible to local privilege escalation under certain conditions potentially enabling unauthorized actions on a user\u0027s system with elevated privileges, when a crafted file is stored in C:\\node_modules\\. This issue affects MongoDB Compass prior to 1.42.1",
  "id": "GHSA-25hc-2p68-qc2g",
  "modified": "2025-02-27T18:31:12Z",
  "published": "2025-02-27T18:31:12Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-1755"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2025:1755.html"
    },
    {
      "type": "WEB",
      "url": "https://jira.mongodb.org/browse/COMPASS-9058"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:H",
      "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.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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