GHSA-33V7-638R-HCH5

Vulnerability from github – Published: 2026-09-28 09:30 – Updated: 2026-09-28 09:30
VLAI
Details

Cross-Site Request Forgery (CSRF) in Apache Roller 6.1.5 allows a remote attacker to cause a logged-in user to perform state-changing actions under the victim's authority, because the CSRF validation filters accept a request that does not submit the required salt token, validating instead against a value the server itself generated for the request. No optional feature or non-default configuration is required; any logged-in author or administrator is affected when induced to visit a crafted page. Users are recommended to upgrade to Apache Roller 6.1.6 or later, which validates only the submitted salt and applies the same check to multipart forms.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-82380"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-28T08:16:41Z",
    "severity": "HIGH"
  },
  "details": "Cross-Site Request Forgery (CSRF) in Apache Roller 6.1.5 allows a remote attacker to cause a logged-in user to perform state-changing actions under the victim\u0027s authority, because the CSRF validation filters accept a request that does not submit the required salt token, validating instead against a value the server itself generated for the request. No optional feature or non-default configuration is required; any logged-in author or administrator is affected when induced to visit a crafted page. Users are recommended to upgrade to Apache Roller 6.1.6 or later, which validates only the submitted salt and applies the same check to multipart forms.",
  "id": "GHSA-33v7-638r-hch5",
  "modified": "2026-09-28T09:30:27Z",
  "published": "2026-09-28T09:30:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-82380"
    },
    {
      "type": "WEB",
      "url": "https://github.com/apache/roller/pull/167"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/db5zl0wrf2c888qwkqmxymddfjc594q8"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/09/25/13"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/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.

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