Vulnerability-Lookup

CNVD-2018-19567

Vulnerability from cnvd - Published: 2018-09-20

Title

Red Hat Undertow信息泄露漏洞

Description

Red Hat Undertow是美国红帽（Red Hat）公司的一款基于Java的嵌入式Web服务器，是Wildfly（Java应用服务器）默认的Web服务器。 Red Hat Undertow中存在信息泄露漏洞，攻击者可利用该漏洞获取信息。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://undertow.io/

Reference

https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2018-14642

Impacted products

Name
Red Hat Undertow

Show details on source website

JSON

To clipboard

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      "cveNumber": "CVE-2018-14642"
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  "discovererName": "Pedro Sampaio",
  "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\nhttp://undertow.io/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-19567",
  "openTime": "2018-09-20",
  "products": {
    "product": "Red Hat Undertow"
  },
  "referenceLink": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2018-14642",
  "serverity": "\u4e2d",
  "submitTime": "2018-09-20",
  "title": "Red Hat Undertow\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2018-14642 (GCVE-0-2018-14642)

Vulnerability from cvelistv5 – Published: 2018-09-18 13:00 – Updated: 2024-08-05 09:38

Summary

An information leak vulnerability was found in Undertow. If all headers are not written out in the first write() call then the code that handles flushing the buffer will always write out the full contents of the writevBuffer buffer, which may contain data from previous requests.

Severity

5.3 (Medium)


                        
                          CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

CWE

CWE-200

Assigner

redhat redhat root

References

9 references

URL	Tags
https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2…	x_refsource_CONFIRM
https://access.redhat.com/errata/RHSA-2019:0364	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:0362	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:0365	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:0380	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:1107	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:1108	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:1106	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2019:1140	vendor-advisoryx_refsource_REDHAT

Impacted products

1 product

Vendor	Product	Version
Red Hat	undertow	Affected: n/a

Date Public

2018-09-14 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.