Vulnerability-Lookup

CNVD-2018-26885

Vulnerability from cnvd - Published: 2018-12-28

Title

YunoHost HTTP头注入漏洞

Description

YunoHost是一套基于Linux的服务器操作系统。 YunoHost2.7.2版本至2.7.14版本中存在安全漏洞，攻击者可借助恶意的链接利用该漏洞注入HTTP报头，将用户重定向到恶意的网站，造成HTTP响应拆分或缓存中毒。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://yunohost.org/

Reference

https://www.bishopfox.com/news/2018/10/yunohost-2-7-2-to-2-7-14-multiple-vulnerabilities/

Impacted products

Name
yunohost yunohost >=2.7.2，<=2.7.14

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-11347"
    }
  },
  "description": "YunoHost\u662f\u4e00\u5957\u57fa\u4e8eLinux\u7684\u670d\u52a1\u5668\u64cd\u4f5c\u7cfb\u7edf\u3002\n\nYunoHost2.7.2\u7248\u672c\u81f32.7.14\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684\u94fe\u63a5\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165HTTP\u62a5\u5934\uff0c\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u5230\u6076\u610f\u7684\u7f51\u7ad9\uff0c\u9020\u6210HTTP\u54cd\u5e94\u62c6\u5206\u6216\u7f13\u5b58\u4e2d\u6bd2\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://yunohost.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-26885",
  "openTime": "2018-12-28",
  "products": {
    "product": "yunohost yunohost \u003e=2.7.2\uff0c\u003c=2.7.14"
  },
  "referenceLink": "https://www.bishopfox.com/news/2018/10/yunohost-2-7-2-to-2-7-14-multiple-vulnerabilities/",
  "serverity": "\u9ad8",
  "submitTime": "2018-12-07",
  "title": "YunoHost HTTP\u5934\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2018-11347 (GCVE-0-2018-11347)

Vulnerability from cvelistv5 – Published: 2018-12-04 17:00 – Updated: 2024-08-05 08:01

Summary

The YunoHost 2.7.2 through 2.7.14 web application is affected by one HTTP Response Header Injection. This flaw allows an attacker to inject, into the response from the server, one or several HTTP Header. It requires an interaction with the user to send him the malicious link. It could be used to perform other attacks such as user redirection to a malicious website, HTTP response splitting, or HTTP cache poisoning.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.bishopfox.com/news/2018/10/yunohost-2…	x_refsource_MISC

Date Public

2018-10-30 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.