CNVD-2016-06651
Vulnerability from cnvd - Published: 2016-08-24
VLAI
Title
Red Hat mod_cluster本地拒绝服务漏洞
Description
Red Hat mod_cluster是美国红帽（Red Hat）公司一个基于HTTP协议用于实现负载均衡、容错的集群模块。
Red Hat mod_cluster中存在本地拒绝服务漏洞。攻击者可利用该漏洞造成拒绝服务。
Severity
中
Patch Name
Red Hat mod_cluster本地拒绝服务漏洞的补丁
Patch Description
Red Hat mod_cluster是美国红帽（Red Hat）公司一个基于HTTP协议用于实现负载均衡、容错的集群模块。
Red Hat mod_cluster中存在本地拒绝服务漏洞。攻击者可利用该漏洞造成拒绝服务。攻击者可利用该漏洞造成拒绝服务。
Formal description
目前厂商已经发布了升级补丁以修复此安全问题，详情请关注厂商主页： http://mod-cluster.jboss.org/
Reference
http://www.securityfocus.com/bid/92584
Impacted products
| Name | ['Red Hat mod_cluster', 'Red Hat JBoss Web Server 2.1.0'] |
|---|
{
"bids": {
"bid": {
"bidNumber": "92584"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2016-3110"
}
},
"description": "Red Hat mod_cluster\u662f\u7f8e\u56fd\u7ea2\u5e3d\uff08Red Hat\uff09\u516c\u53f8\u4e00\u4e2a\u57fa\u4e8eHTTP\u534f\u8bae\u7528\u4e8e\u5b9e\u73b0\u8d1f\u8f7d\u5747\u8861\u3001\u5bb9\u9519\u7684\u96c6\u7fa4\u6a21\u5757\u3002\r\n\r\nRed Hat mod_cluster\u4e2d\u5b58\u5728\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
"discovererName": "Michal Karm Babacek",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a \r\nhttp://mod-cluster.jboss.org/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-06651",
"openTime": "2016-08-24",
"patchDescription": "Red Hat mod_cluster\u662f\u7f8e\u56fd\u7ea2\u5e3d\uff08Red Hat\uff09\u516c\u53f8\u4e00\u4e2a\u57fa\u4e8eHTTP\u534f\u8bae\u7528\u4e8e\u5b9e\u73b0\u8d1f\u8f7d\u5747\u8861\u3001\u5bb9\u9519\u7684\u96c6\u7fa4\u6a21\u5757\u3002\r\n\r\nRed Hat mod_cluster\u4e2d\u5b58\u5728\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
"patchName": "Red Hat mod_cluster\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Red Hat mod_cluster",
"Red Hat JBoss Web Server 2.1.0"
]
},
"referenceLink": "http://www.securityfocus.com/bid/92584",
"serverity": "\u4e2d",
"submitTime": "2016-08-24",
"title": "Red Hat mod_cluster\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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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.
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