Vulnerability-Lookup

CNVD-2018-07987

Vulnerability from cnvd - Published: 2018-04-20

Title

Tiny FTP Daemon缓冲区错误漏洞

Description

Tiny FTP Daemon是一款FTP（文件传输协议）服务器。 Tiny FTP Daemon 0.52d版本中存在缓冲区溢出漏洞。攻击者可利用该漏洞造成拒绝服务或执行任意代码。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： http://mikkojuku.com/server_win2000/tinyftp.htm

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-0541

Impacted products

Name
Tiny ftpd Tiny FTP Daemon 0.52d

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-0541",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-0541"
    }
  },
  "description": "Tiny FTP Daemon\u662f\u4e00\u6b3eFTP\uff08\u6587\u4ef6\u4f20\u8f93\u534f\u8bae\uff09\u670d\u52a1\u5668\u3002\r\n\r\nTiny FTP Daemon 0.52d\u7248\u672c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttp://mikkojuku.com/server_win2000/tinyftp.htm",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-07987",
  "openTime": "2018-04-20",
  "products": {
    "product": "Tiny ftpd Tiny FTP Daemon 0.52d"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-0541",
  "serverity": "\u9ad8",
  "submitTime": "2018-03-28",
  "title": "Tiny FTP Daemon\u7f13\u51b2\u533a\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2018-0541 (GCVE-0-2018-0541)

Vulnerability from cvelistv5 – Published: 2018-03-22 13:00 – Updated: 2024-08-05 03:28

Summary

Buffer overflow in Tiny FTP Daemon Ver0.52d allows an attacker to cause a denial-of-service (DoS) condition or execute arbitrary code via unspecified vectors.

Severity

No CVSS data available.

CWE

Buffer Overflow

Assigner

jpcert jpcert root

References

1 reference

URL	Tags
https://jvn.jp/en/jp/JVN92259864/index.html	third-party-advisoryx_refsource_JVN

Impacted products

1 product

Vendor	Product	Version
Hisayuki Nomura	Tiny FTP Daemon	Affected: Ver0.52d

Date Public

2018-03-13 00:00

Show details on NVD website

JSON

To clipboard

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        "dateUpdated": "2018-03-22T12:57:01.000Z",
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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.

Detection rules are retrieved from Rulezet.

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.