CNVD-2017-33574
Vulnerability from cnvd - Published: 2017-11-10
VLAI
Title
Apache Solr/Lucene远程代码执行漏洞
Description
Apache Solr 是一个开源的搜索服务器。Solr 使用 Java 语言开发，主要基于 HTTP 和 Apache Lucene 实现。Lucene是apache软件基金会4 jakarta项目组的一个子项目，是一个开放源代码的全文检索引擎工具包。
Apache Solr/Lucene存在远程代码执行漏洞。攻击者利用该漏洞可以获取敏感信息，或者在受影响应用程序上下文中执行任意代码漏洞 。
Severity
高
Formal description
厂商尚未提供漏洞修复方案，请关注厂商主页及时更新： http://www.apache.org/
Reference
http://www.securityfocus.com/bid/101261
http://openwall.com/lists/oss-security/2017/10/13/1
Impacted products
| Name | ['Apache Solr <7.1', 'Apache Lucene <7.1'] |
|---|
{
"bids": {
"bid": {
"bidNumber": "101261"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2017-12629"
}
},
"description": "Apache Solr \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u641c\u7d22\u670d\u52a1\u5668\u3002Solr \u4f7f\u7528 Java \u8bed\u8a00\u5f00\u53d1\uff0c\u4e3b\u8981\u57fa\u4e8e HTTP \u548c Apache Lucene \u5b9e\u73b0\u3002Lucene\u662fapache\u8f6f\u4ef6\u57fa\u91d1\u4f1a4 jakarta\u9879\u76ee\u7ec4\u7684\u4e00\u4e2a\u5b50\u9879\u76ee\uff0c\u662f\u4e00\u4e2a\u5f00\u653e\u6e90\u4ee3\u7801\u7684\u5168\u6587\u68c0\u7d22\u5f15\u64ce\u5de5\u5177\u5305\u3002\r\n\r\nApache Solr/Lucene\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u83b7\u53d6\u654f\u611f\u4fe1\u606f\uff0c\u6216\u8005\u5728\u53d7\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6f0f\u6d1e \u3002",
"discovererName": "Michael Stepankin from JPMorgan Chase and Olga Barinova from Gotham Digital Science",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u53ca\u65f6\u66f4\u65b0\uff1a\r\nhttp://www.apache.org/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-33574",
"openTime": "2017-11-10",
"products": {
"product": [
"Apache Solr \u003c7.1",
"Apache Lucene \u003c7.1"
]
},
"referenceLink": "http://www.securityfocus.com/bid/101261\r\nhttp://openwall.com/lists/oss-security/2017/10/13/1",
"serverity": "\u9ad8",
"submitTime": "2017-10-16",
"title": "Apache Solr/Lucene\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\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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