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GHSA-C74V-C978-WW7P

Vulnerability from github – Published: 2023-11-17 03:30 – Updated: 2025-09-29 15:30
VLAI
Details

OpenSupports v4.11.0 is vulnerable to Unrestricted Upload of File with Dangerous Type. In the comment function, an attacker can bypass security restrictions and upload a .bat file by manipulating the file's magic bytes to masquerade as an allowed type. This can enable the attacker to execute arbitrary code or establish a reverse shell, leading to unauthorized file writes or control over the victim's station via a crafted file upload operation.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-48031"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-434"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-11-17T02:15:26Z",
    "severity": "CRITICAL"
  },
  "details": "OpenSupports v4.11.0 is vulnerable to Unrestricted Upload of File with Dangerous Type. In the comment function, an attacker can bypass security restrictions and upload a .bat file by manipulating the file\u0027s magic bytes to masquerade as an allowed type. This can enable the attacker to execute arbitrary code or establish a reverse shell, leading to unauthorized file writes or control over the victim\u0027s station via a crafted file upload operation.",
  "id": "GHSA-c74v-c978-ww7p",
  "modified": "2025-09-29T15:30:29Z",
  "published": "2023-11-17T03:30:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-48031"
    },
    {
      "type": "WEB",
      "url": "https://bugplorer.github.io/cve-opensupports"
    },
    {
      "type": "WEB",
      "url": "https://nitipoom-jar.github.io/CVE-2023-48031"
    },
    {
      "type": "WEB",
      "url": "https://nitipoom-jaroonchaipipat.github.io/security-research-portal/2023-48031"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/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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