Vulnerability-Lookup

CNVD-2016-10529

Vulnerability from cnvd - Published: 2016-11-02

Title

Micro Focus Rumba本地拒绝服务漏洞

Description

Micro Focus Rumba FTP是英国Micro Focus公司的一款易于使用的图形化的FTP客户端文件传输工具。 Micro Focus Rumba 9.4版本存在本地拒绝服务漏洞，攻击者可以利用该漏洞造成拒绝服务（程序崩溃）。

Severity

低

Formal description

目前厂商还没有提供此漏洞的相关补丁或者升级程序，建议使用此软件的用户随时关注厂商的主页以获取最新版本： https://www.microfocus.com/

Reference

https://www.exploit-db.com/exploits/40648/

Impacted products

Name
Micro Focus Rumba 9.4

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "94236"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-9176"
    }
  },
  "description": "Micro Focus Rumba FTP\u662f\u82f1\u56fdMicro Focus\u516c\u53f8\u7684\u4e00\u6b3e\u6613\u4e8e\u4f7f\u7528\u7684\u56fe\u5f62\u5316\u7684FTP\u5ba2\u6237\u7aef\u6587\u4ef6\u4f20\u8f93\u5de5\u5177\u3002\r\n\r\nMicro Focus Rumba 9.4\u7248\u672c\u5b58\u5728\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u7a0b\u5e8f\u5d29\u6e83\uff09\u3002",
  "discovererName": "Umit Aksu",
  "formalWay": "\u76ee\u524d\u5382\u5546\u8fd8\u6ca1\u6709\u63d0\u4f9b\u6b64\u6f0f\u6d1e\u7684\u76f8\u5173\u8865\u4e01\u6216\u8005\u5347\u7ea7\u7a0b\u5e8f\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u7684\u4e3b\u9875\u4ee5\u83b7\u53d6\u6700\u65b0\u7248\u672c\uff1a \r\nhttps://www.microfocus.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-10529",
  "openTime": "2016-11-02",
  "products": {
    "product": "Micro Focus Rumba 9.4"
  },
  "referenceLink": "https://www.exploit-db.com/exploits/40648/",
  "serverity": "\u4f4e",
  "submitTime": "2016-11-02",
  "title": "Micro Focus Rumba\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2016-9176 (GCVE-0-2016-9176)

Vulnerability from cvelistv5 – Published: 2016-11-04 00:00 – Updated: 2024-08-06 02:42

Summary

Stack buffer overflow in the send.exe and receive.exe components of Micro Focus Rumba 9.4 and earlier could be used by local attackers or attackers able to inject arguments to these binaries to execute code.

Severity

No CVSS data available.

CWE

Buffer Overflow

Assigner

microfocus

References

2 references

URL	Tags
http://www.securityfocus.com/bid/94236	vdb-entryx_refsource_BID
https://www.exploit-db.com/exploits/40648/	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Micro Focus	Micro Focus Rumba 9.4	Affected: Micro Focus Rumba 9.4

Date Public

2016-11-03 00:00

Show details on NVD website

JSON

To clipboard

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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.