CNVD-2015-07483

Vulnerability from cnvd - Published: 2015-11-12
VLAI
Title
IBM Security QRadar Incident Forensics跨站请求伪造漏洞
Description
IBM Security QRadar Incident Forensics是美国IBM公司的一套安全取证调查软件。该软件支持对疑似恶意网络安全事件进行深入取证调查,及修复网络安全漏洞。 IBM Security QRadar Incident Forensics 7.2.5 Patch 5之前7.2.x版本存在跨站请求伪造漏洞。远程攻击者可利用该漏洞插入XSS序列。
Severity
Patch Name
IBM Security QRadar Incident Forensics跨站请求伪造漏洞的补丁
Patch Description
IBM Security QRadar Incident Forensics是美国IBM公司的一套安全取证调查软件。该软件支持对疑似恶意网络安全事件进行深入取证调查,及修复网络安全漏洞。 IBM Security QRadar Incident Forensics 7.2.5 Patch 5之前7.2.x版本存在跨站请求伪造漏洞。远程攻击者可利用该漏洞插入XSS序列。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

用户可参考如下供应商提供的安全公告获得补丁信息: http://www-01.ibm.com/support/docview.wss?uid=swg21970140

Reference
http://www-01.ibm.com/support/docview.wss?uid=swg21970140
Impacted products
Name
IBM Security QRadar Incident Forensics 7.2.x(<7.2.5 Patch 5)
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-1997"
    }
  },
  "description": "IBM Security QRadar Incident Forensics\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u5b89\u5168\u53d6\u8bc1\u8c03\u67e5\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u5bf9\u7591\u4f3c\u6076\u610f\u7f51\u7edc\u5b89\u5168\u4e8b\u4ef6\u8fdb\u884c\u6df1\u5165\u53d6\u8bc1\u8c03\u67e5\uff0c\u53ca\u4fee\u590d\u7f51\u7edc\u5b89\u5168\u6f0f\u6d1e\u3002\r\n\r\nIBM Security QRadar Incident Forensics 7.2.5 Patch 5\u4e4b\u524d7.2.x\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d2\u5165XSS\u5e8f\u5217\u3002",
  "discovererName": "IBM",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttp://www-01.ibm.com/support/docview.wss?uid=swg21970140",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-07483",
  "openTime": "2015-11-12",
  "patchDescription": "IBM Security QRadar Incident Forensics\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u5b89\u5168\u53d6\u8bc1\u8c03\u67e5\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u5bf9\u7591\u4f3c\u6076\u610f\u7f51\u7edc\u5b89\u5168\u4e8b\u4ef6\u8fdb\u884c\u6df1\u5165\u53d6\u8bc1\u8c03\u67e5\uff0c\u53ca\u4fee\u590d\u7f51\u7edc\u5b89\u5168\u6f0f\u6d1e\u3002\r\n\r\nIBM Security QRadar Incident Forensics 7.2.5 Patch 5\u4e4b\u524d7.2.x\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d2\u5165XSS\u5e8f\u5217\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": "IBM Security QRadar Incident Forensics\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Security QRadar Incident Forensics 7.2.x\uff08\u003c7.2.5 Patch 5)"
  },
  "referenceLink": "http://www-01.ibm.com/support/docview.wss?uid=swg21970140",
  "serverity": "\u4e2d",
  "submitTime": "2015-11-10",
  "title": "IBM Security QRadar Incident Forensics\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\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

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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.
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  • 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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