CNVD-2019-23302

Vulnerability from cnvd - Published: 2019-07-19
VLAI
Title
Apache Roller跨站脚本漏洞(CNVD-2019-23302)
Description
Apache Roller是美国阿帕奇(Apache)软件基金会的一套基于Java的多用户开源博客系统。 Apache Roller 5.2.2版本、5.2.1版本和5.2版本中存在跨站脚本漏洞。该漏洞源于WEB应用缺少对客户端数据的正确验证。攻击者可利用该漏洞执行客户端代码。
Severity
低
Patch Name
Apache Roller跨站脚本漏洞的补丁
Patch Description
Apache Roller是一款基于Java的全功能、多用户和组博客服务器,适用于大大小小的博客站点。 Apache Roller 5.2、5.2.1、5.2.2存在反射型跨站脚本漏洞。该漏洞源于Roller的Math Comment Authenticator不能正确验证用户输入。攻击者可利用该漏洞进行跨站脚本攻击。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://roller.apache.org/downloads/downloads.html

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-0234
Impacted products
Name
['Apache Roller 5.2.2', 'Apache Roller 5.2.1', 'Apache Roller 5.2']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "109142"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-0234",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-0234"
    }
  },
  "description": "Apache Roller\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u57fa\u4e8eJava\u7684\u591a\u7528\u6237\u5f00\u6e90\u535a\u5ba2\u7cfb\u7edf\u3002\n\nApache Roller 5.2.2\u7248\u672c\u30015.2.1\u7248\u672c\u548c5.2\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8eWEB\u5e94\u7528\u7f3a\u5c11\u5bf9\u5ba2\u6237\u7aef\u6570\u636e\u7684\u6b63\u786e\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u5ba2\u6237\u7aef\u4ee3\u7801\u3002",
  "discovererName": "unKnow",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://roller.apache.org/downloads/downloads.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-23302",
  "openTime": "2019-07-19",
  "patchDescription": "Apache Roller\u662f\u4e00\u6b3e\u57fa\u4e8eJava\u7684\u5168\u529f\u80fd\u3001\u591a\u7528\u6237\u548c\u7ec4\u535a\u5ba2\u670d\u52a1\u5668\uff0c\u9002\u7528\u4e8e\u5927\u5927\u5c0f\u5c0f\u7684\u535a\u5ba2\u7ad9\u70b9\u3002\nApache Roller 5.2\u30015.2.1\u30015.2.2\u5b58\u5728\u53cd\u5c04\u578b\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8eRoller\u7684Math Comment Authenticator\u4e0d\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u8de8\u7ad9\u811a\u672c\u653b\u51fb\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Apache Roller\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache Roller 5.2.2",
      "Apache Roller 5.2.1",
      "Apache Roller 5.2"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-0234",
  "serverity": "\u4f4e",
  "submitTime": "2019-07-16",
  "title": "Apache Roller\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2019-23302\uff09"
}



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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

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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.
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  • 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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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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