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VAR-202206-1828

Vulnerability from variot - Updated: 2024-08-14 15:06

A user enumeration vulnerability in MELAG FTP Server 2.2.0.4 allows an attacker to identify valid FTP usernames. melag of ftp server Exists in observable mismatch vulnerabilities.Information may be obtained. MELAG FTP Server is an FTP server of MELAG, Germany. The vulnerability arises from the fact that the program presents different responses to users and non-users

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CVE-2021-41634 (GCVE-0-2021-41634)

Vulnerability from cvelistv5 – Published: 2022-06-24 11:46 – Updated: 2024-08-04 03:15

Summary

A user enumeration vulnerability in MELAG FTP Server 2.2.0.4 allows an attacker to identify valid FTP usernames.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2324 records in the last 180 days details

References

1 reference

URL	Tags
https://www.securesystems.de/blog/advisory-and-ex…	x_refsource_MISC

Show details on NVD website

JSON

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                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "A user enumeration vulnerability in MELAG FTP Server 2.2.0.4 allows an attacker to identify valid FTP usernames."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
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              ]
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        },
        "references": {
          "reference_data": [
            {
              "name": "https://www.securesystems.de/blog/advisory-and-exploitation-the-melag-ftp-server/",
              "refsource": "MISC",
              "url": "https://www.securesystems.de/blog/advisory-and-exploitation-the-melag-ftp-server/"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2021-41634",
    "datePublished": "2022-06-24T11:46:52.000Z",
    "dateReserved": "2021-09-27T00:00:00.000Z",
    "dateUpdated": "2024-08-04T03:15:29.244Z",
    "state": "PUBLISHED"
  },
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}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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