CVE-2026-48070 (GCVE-0-2026-48070)

Vulnerability from cvelistv5 – Published: 2026-09-24 18:15 – Updated: 2026-09-24 18:15
VLAI
Title
Docmost: Avatar URL path traversal in avatar cleanup leads to arbitrary local file deletion
Summary
Docmost is open-source collaborative wiki and documentation software. Prior to 0.80.1, authenticated users can store attacker-controlled avatarUrl values that are later reused by avatar cleanup without confinement to the intended directory on local-storage deployments. A low-privileged user can cause deletion of arbitrary local files or directories reachable by the Docmost service account. This issue is fixed in version 0.80.1.
Severity
7.1 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
CWE
  • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
Vendor Product Version
docmost docmost Affected: < 0.80.1
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{
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        }
      ],
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            "version": "3.1"
          }
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      ],
      "problemTypes": [
        {
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            {
              "cweId": "CWE-22",
              "description": "CWE-22: Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)",
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              "type": "CWE"
            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2026-09-24T18:15:58.700Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
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          "tags": [
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          "url": "https://github.com/docmost/docmost/security/advisories/GHSA-95f8-h5hf-8248"
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      "source": {
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        "discovery": "UNKNOWN"
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      "title": "Docmost: Avatar URL path traversal in avatar cleanup leads to arbitrary local file deletion"
    }
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    "datePublished": "2026-09-24T18:15:58.700Z",
    "dateReserved": "2026-05-20T18:25:25.708Z",
    "dateUpdated": "2026-09-24T18:15:58.700Z",
    "state": "PUBLISHED"
  },
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      "percentile": "0.28431"
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          }
        ],
        "id": "CVE-2026-48070",
        "lastModified": "2026-09-24T19:17:13.560",
        "metrics": {
          "cvssMetricV31": [
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    }
  }
}



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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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