GHSA-RMFX-8GMJ-C39Q

Vulnerability from github – Published: 2023-12-13 09:30 – Updated: 2023-12-20 21:30
VLAI
Details

Design document functions which receive a user http request object may expose authorization or session cookie headers of the user who accesses the document.

These design document functions are: *   list *   show *   rewrite *   update

An attacker can leak the session component using an HTML-like output, insert the session as an external resource (such as an image), or store the credential in a _local document with an "update" function.

For the attack to succeed the attacker has to be able to insert the design documents into the database, then manipulate a user to access a function from that design document.

Workaround: Avoid using design documents from untrusted sources which may attempt to access or manipulate request object's headers

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-45725"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-12-13T08:15:50Z",
    "severity": "MODERATE"
  },
  "details": "Design document functions which receive a user http request object may expose authorization or session cookie headers of the user who accesses the document.\n\nThese design document functions are:\n  *  \u00a0 list\n  *  \u00a0 show\n  *  \u00a0 rewrite\n  *  \u00a0 update\n\nAn attacker can leak the session component using an HTML-like output, insert the session as an external resource (such as an image), or store the credential in a _local document with an \"update\" function.\n\nFor the attack to succeed the attacker has to be able to insert the design documents into the database, then manipulate a user to access a function from that design document.\n\nWorkaround: Avoid using design documents from untrusted sources which may attempt to access or manipulate request object\u0027s headers\n",
  "id": "GHSA-rmfx-8gmj-c39q",
  "modified": "2023-12-20T21:30:29Z",
  "published": "2023-12-13T09:30:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-45725"
    },
    {
      "type": "WEB",
      "url": "https://docs.couchdb.org/en/stable/cve/2023-45725.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/pqjq9zt8vq9rsobkc1cow9sqm9vozlrg"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/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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