GHSA-GFHQ-7499-F3F2

Vulnerability from github – Published: 2026-03-27 15:37 – Updated: 2026-03-27 15:37
VLAI
Summary
TSPortal: Any user can forge self-deletion requests for any account
Details

Summary

Conversion of empty strings to null allows disguising DPA reports as genuine self-deletion reports.

Details

Creating a DPA report about another user and leaving the evidence field empty causes that report to look like the reported user self-requested deletion of their data. Ingenuine report is not distinguishable from a genuine one.

This can be prevented by disabling convertEmptyStringsToNull in the middleware, or by validating evidence in Http/Controllers/DPAController::store() to not be empty.

PoC

New DPA report -> Select "...someone who I suspect is under the age of 13" for the "The above username is..." field -> Add nothing to the "Evidence" field -> Submit

Impact

Potential unauthorized deletion of any arbitrary user's data both in the current system (TSPortal) and subsequent systems if actioned.

Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
8.4 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:H/SC:N/SI:L/SA:H
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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 29"
      },
      "package": {
        "ecosystem": "Packagist",
        "name": "miraheze/ts-portal"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "30"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-29788"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1287",
      "CWE-283"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-03-27T15:37:10Z",
    "nvd_published_at": "2026-03-06T21:16:15Z",
    "severity": "HIGH"
  },
  "details": "### Summary\nConversion of empty strings to null allows disguising DPA reports as genuine self-deletion reports.\n\n### Details\nCreating a DPA report about another user and leaving the evidence field empty causes that report to look like the reported user self-requested deletion of their data. Ingenuine report is not distinguishable from a genuine one.\n\nThis can be prevented by disabling [convertEmptyStringsToNull](https://api.laravel.com/docs/12.x/Illuminate/Foundation/Configuration/Middleware.html#method_convertEmptyStringsToNull) in the middleware, or by validating `evidence` in Http/Controllers/DPAController::store() to not be empty.\n\n### PoC\nNew DPA report -\u003e Select \"...someone who I suspect is under the age of 13\" for the \"The above username is...\" field -\u003e Add nothing to the \"Evidence\" field -\u003e Submit\n\n### Impact\nPotential unauthorized deletion of any arbitrary user\u0027s data both in the current system (TSPortal) and subsequent systems if actioned.",
  "id": "GHSA-gfhq-7499-f3f2",
  "modified": "2026-03-27T15:37:10Z",
  "published": "2026-03-27T15:37:10Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/miraheze/TSPortal/security/advisories/GHSA-gfhq-7499-f3f2"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-29788"
    },
    {
      "type": "WEB",
      "url": "https://api.laravel.com/docs/12.x/Illuminate/Foundation/Configuration/Middleware.html#method_convertEmptyStringsToNull"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/miraheze/TSPortal"
    },
    {
      "type": "WEB",
      "url": "https://issue-tracker.miraheze.org/T15053"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:H/SC:N/SI:L/SA:H",
      "type": "CVSS_V4"
    }
  ],
  "summary": "TSPortal: Any user can forge self-deletion requests for any account"
}



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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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