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GHSA-R29G-5MGX-4588

Vulnerability from github – Published: 2022-05-13 01:38 – Updated: 2022-05-13 01:38
VLAI
Details

The generated PHP form code does not properly validate user input folder directories, allowing a remote unauthenticated attacker to perform a path traversal and access arbitrary files on the server. The PHP FormMail Generator website does not use version numbers and is updated continuously. Any PHP form code generated by this website prior to 2016-12-06 may be vulnerable.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2016-9484"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-07-13T20:29:00Z",
    "severity": "HIGH"
  },
  "details": "The generated PHP form code does not properly validate user input folder directories, allowing a remote unauthenticated attacker to perform a path traversal and access arbitrary files on the server. The PHP FormMail Generator website does not use version numbers and is updated continuously. Any PHP form code generated by this website prior to 2016-12-06 may be vulnerable.",
  "id": "GHSA-r29g-5mgx-4588",
  "modified": "2022-05-13T01:38:31Z",
  "published": "2022-05-13T01:38:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-9484"
    },
    {
      "type": "WEB",
      "url": "https://www.kb.cert.org/vuls/id/494015"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/94778"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "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.

Sightings

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Nomenclature

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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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