Vulnerability-Lookup

GHSA-RR93-GRPR-Q2G2

Vulnerability from github – Published: 2022-05-01 18:16 – Updated: 2022-05-01 18:16

Details

The mirror mechanism in SurgeFTP 2.3a1 allows user-assisted, remote FTP servers to cause a denial of service (restart) via a malformed response to a PASV command.

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{
  "affected": [],
  "aliases": [
    "CVE-2007-3768"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2007-07-15T21:30:00Z",
    "severity": "HIGH"
  },
  "details": "The mirror mechanism in SurgeFTP 2.3a1 allows user-assisted, remote FTP servers to cause a denial of service (restart) via a malformed response to a PASV command.",
  "id": "GHSA-rr93-grpr-q2g2",
  "modified": "2022-05-01T18:16:57Z",
  "published": "2022-05-01T18:16:57Z",
  "references": [
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      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2007-3768"
    },
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      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/35376"
    },
    {
      "type": "WEB",
      "url": "http://lists.grok.org.uk/pipermail/full-disclosure/attachments/20070710/98374694/attachment-0030.txt"
    },
    {
      "type": "WEB",
      "url": "http://marc.info/?l=full-disclosure\u0026m=118409539009277\u0026w=2"
    },
    {
      "type": "WEB",
      "url": "http://osvdb.org/37909"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/26061"
    },
    {
      "type": "WEB",
      "url": "http://securityreason.com/securityalert/2883"
    },
    {
      "type": "WEB",
      "url": "http://www.vupen.com/english/advisories/2007/2528"
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  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2007-3768 (GCVE-0-2007-3768)

Vulnerability from cvelistv5 – Published: 2007-07-15 21:00 – Updated: 2024-08-07 14:28

Summary

The mirror mechanism in SurgeFTP 2.3a1 allows user-assisted, remote FTP servers to cause a denial of service (restart) via a malformed response to a PASV command.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2320 records in the last 180 days details

References

7 references

URL	Tags
http://secunia.com/advisories/26061	third-party-advisoryx_refsource_SECUNIA
http://osvdb.org/37909	vdb-entryx_refsource_OSVDB
http://securityreason.com/securityalert/2883	third-party-advisoryx_refsource_SREASON
http://www.vupen.com/english/advisories/2007/2528	vdb-entryx_refsource_VUPEN
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF
http://lists.grok.org.uk/pipermail/full-disclosur…	x_refsource_MISC
http://marc.info/?l=full-disclosure&m=11840953900…	mailing-listx_refsource_FULLDISC

Date Public

2007-07-10 00:00

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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.

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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.
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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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