GHSA-3HHM-QFF2-F56H

Vulnerability from github – Published: 2026-10-12 15:32 – Updated: 2026-10-12 15:32
VLAI
Details

In Progress ShareFile Storage Zones Controller v5.12.6 and below, FileCopyService uses a remote file identifier when constructing a local temporary file path without enforcing containment. This can cause FileCopyService to write attacker-controlled content to filesystem locations writable by the service account. This can result in remote code execution when an executable IIS-served directory is writable.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-93695"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-12T13:17:33Z",
    "severity": "HIGH"
  },
  "details": "In Progress ShareFile Storage Zones Controller v5.12.6 and below, FileCopyService uses a remote file identifier when constructing a local temporary file path without enforcing containment. This can cause FileCopyService to write attacker-controlled content to filesystem locations writable by the service account. This can result in remote code execution when an executable IIS-served directory is writable.",
  "id": "GHSA-3hhm-qff2-f56h",
  "modified": "2026-10-12T15:32:16Z",
  "published": "2026-10-12T15:32:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-93695"
    },
    {
      "type": "WEB",
      "url": "https://docs.sharefile.com/en-us/sharefile/storage-zones-controller/5-0/security-vulnerability-sep26"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/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.

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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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