GHSA-9VF2-G8C8-CV28

Vulnerability from github – Published: 2022-05-24 16:47 – Updated: 2024-04-04 00:55
VLAI
Details

A Directory Traversal issue was discovered in SSHServerAPI.dll in Progress ipswitch WS_FTP Server 2018 before 8.6.1. Attackers have the ability to abuse a flaw in the SCP listener by crafting strings using specific patterns to write files and create directories outside of their authorized directory.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-12146"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-06-11T21:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "A Directory Traversal issue was discovered in SSHServerAPI.dll in Progress ipswitch WS_FTP Server 2018 before 8.6.1. Attackers have the ability to abuse a flaw in the SCP listener by crafting strings using specific patterns to write files and create directories outside of their authorized directory.",
  "id": "GHSA-9vf2-g8c8-cv28",
  "modified": "2024-04-04T00:55:09Z",
  "published": "2022-05-24T16:47:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-12146"
    },
    {
      "type": "WEB",
      "url": "https://docs.ipswitch.com/WS_FTP_Server2018/ReleaseNotes/index.htm#49242.htm"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/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.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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