CNVD-2015-03010

Vulnerability from cnvd - Published: 2015-05-14
VLAI
Title
Huawei SEQ Analyst存在多个跨站脚本漏洞
Description
Huawei SEQ Analyst是一款具备成熟的大数据存储与分析能力的解决方案。 Huawei SEQ Analyst未能正确过滤多个参数,远程攻击者可以利用漏洞构建恶意URI,诱使用户解析,可获得敏感Cookie,劫持会话或在客户端上进行恶意操作。
Severity
Patch Name
Huawei SEQ Analyst存在多个跨站脚本漏洞的补丁
Patch Description
Huawei SEQ Analyst是一款具备成熟的大数据存储与分析能力的解决方案。Huawei SEQ Analyst未能正确过滤多个参数,远程攻击者可以利用漏洞构建恶意URI,诱使用户解析,可获得敏感Cookie,劫持会话或在客户端上进行恶意操作。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

Huawei SEQ Analyst V200R002C03LG0001CP0022已经修复该漏洞,建议用户下载更新: http://www.huawei.com

Reference
http://www.huawei.com/en/security/psirt/security-bulletins/security-notices/hw-424267.htm
Impacted products
Name
Huawei SEQ Analyst <V200R002C03LG0001CP0022
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-2347"
    }
  },
  "description": "Huawei SEQ Analyst\u662f\u4e00\u6b3e\u5177\u5907\u6210\u719f\u7684\u5927\u6570\u636e\u5b58\u50a8\u4e0e\u5206\u6790\u80fd\u529b\u7684\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nHuawei SEQ Analyst\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u591a\u4e2a\u53c2\u6570\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610fURI\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u83b7\u5f97\u654f\u611fCookie\uff0c\u52ab\u6301\u4f1a\u8bdd\u6216\u5728\u5ba2\u6237\u7aef\u4e0a\u8fdb\u884c\u6076\u610f\u64cd\u4f5c\u3002",
  "discovererName": "U\u011fur Cihan KO\u00c7",
  "formalWay": "Huawei SEQ Analyst V200R002C03LG0001CP0022\u5df2\u7ecf\u4fee\u590d\u8be5\u6f0f\u6d1e\uff0c\u5efa\u8bae\u7528\u6237\u4e0b\u8f7d\u66f4\u65b0\uff1a\r\nhttp://www.huawei.com",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-03010",
  "openTime": "2015-05-14",
  "patchDescription": "Huawei SEQ Analyst\u662f\u4e00\u6b3e\u5177\u5907\u6210\u719f\u7684\u5927\u6570\u636e\u5b58\u50a8\u4e0e\u5206\u6790\u80fd\u529b\u7684\u89e3\u51b3\u65b9\u6848\u3002Huawei SEQ Analyst\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u591a\u4e2a\u53c2\u6570\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610fURI\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u83b7\u5f97\u654f\u611fCookie\uff0c\u52ab\u6301\u4f1a\u8bdd\u6216\u5728\u5ba2\u6237\u7aef\u4e0a\u8fdb\u884c\u6076\u610f\u64cd\u4f5c\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": "Huawei SEQ Analyst\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Huawei SEQ Analyst \u003cV200R002C03LG0001CP0022"
  },
  "referenceLink": "http://www.huawei.com/en/security/psirt/security-bulletins/security-notices/hw-424267.htm",
  "serverity": "\u4e2d",
  "submitTime": "2015-05-11",
  "title": "Huawei SEQ Analyst\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}



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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

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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Detection rules are retrieved from Rulezet.

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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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