GHSA-Q7RX-W656-FWMV

Vulnerability from github – Published: 2024-01-02 12:30 – Updated: 2024-07-08 19:41
VLAI
Summary
Mattermost notified all users in the channel when using WebSockets to respond individually
Details

Mattermost fails to scope the WebSocket response around notified users to a each user separately resulting in the WebSocket broadcasting the information about who was notified about a post to everyone else in the channel.

Show details on source website

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 8.1.6"
      },
      "package": {
        "ecosystem": "Go",
        "name": "github.com/mattermost/mattermost/server/v8"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "8.1.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 8.1.6"
      },
      "package": {
        "ecosystem": "Go",
        "name": "github.com/mattermost/mattermost-server/v6"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "8.1.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-48732"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-01-03T21:44:56Z",
    "nvd_published_at": "2024-01-02T10:15:08Z",
    "severity": "MODERATE"
  },
  "details": "Mattermost fails to scope the WebSocket response around notified users\u00a0to a each user separately resulting in the\u00a0WebSocket broadcasting the information about who was notified about a post to everyone else in the channel.\n\n",
  "id": "GHSA-q7rx-w656-fwmv",
  "modified": "2024-07-08T19:41:39Z",
  "published": "2024-01-02T12:30:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-48732"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mattermost/mattermost/commit/851515be222160bee0a495c0d411056b19ed4111"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-q7rx-w656-fwmv"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mattermost/mattermost"
    },
    {
      "type": "WEB",
      "url": "https://mattermost.com/security-updates"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Mattermost notified all users in the channel when using WebSockets to respond individually"
}



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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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