CNVD-2016-08190

Vulnerability from cnvd - Published: 2016-09-27
VLAI
Title
Trend Micro Smart Protection Server存在多个漏洞
Description
Trend Micro Smart Protection Server是一款提供智能保护的服务器。 Trend Micro Smart Protection Server存在多个安全漏洞,允许远程攻击者可利用漏洞提交特殊请求查看系统任意文件,执行任意代码,获取权限。
Severity
高
Patch Name
Trend Micro Smart Protection Server存在多个漏洞的百度
Patch Description
Trend Micro Smart Protection Server是一款提供智能保护的服务器。 Trend Micro Smart Protection Server存在多个安全漏洞,允许远程攻击者可利用漏洞提交特殊请求查看系统任意文件,执行任意代码,获取权限。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

用户可参考如下厂商提供的安全补丁以修复该漏洞: https://success.trendmicro.com/solution/1114913

Reference
https://success.trendmicro.com/solution/1114913
Impacted products
Name
['Trend Micro Smart Protection Server 3.0', 'Trend Micro Smart Protection Server 2.6', 'Trend Micro Smart Protection Server 2.5']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "92778"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-6269"
    }
  },
  "description": "Trend Micro Smart Protection Server\u662f\u4e00\u6b3e\u63d0\u4f9b\u667a\u80fd\u4fdd\u62a4\u7684\u670d\u52a1\u5668\u3002\r\n\r\nTrend Micro Smart Protection Server\u5b58\u5728\u591a\u4e2a\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\u67e5\u770b\u7cfb\u7edf\u4efb\u610f\u6587\u4ef6\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u83b7\u53d6\u6743\u9650\u3002",
  "discovererName": "Quentin Kaiser",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://success.trendmicro.com/solution/1114913",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-08190",
  "openTime": "2016-09-27",
  "patchDescription": "Trend Micro Smart Protection Server\u662f\u4e00\u6b3e\u63d0\u4f9b\u667a\u80fd\u4fdd\u62a4\u7684\u670d\u52a1\u5668\u3002\r\n\r\nTrend Micro Smart Protection Server\u5b58\u5728\u591a\u4e2a\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\u67e5\u770b\u7cfb\u7edf\u4efb\u610f\u6587\u4ef6\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u83b7\u53d6\u6743\u9650\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": "Trend Micro Smart Protection Server\u5b58\u5728\u591a\u4e2a\u6f0f\u6d1e\u7684\u767e\u5ea6",
  "products": {
    "product": [
      "Trend Micro Smart Protection Server 3.0",
      "Trend Micro Smart Protection Server  2.6",
      "Trend Micro Smart Protection Server  2.5"
    ]
  },
  "referenceLink": "https://success.trendmicro.com/solution/1114913",
  "serverity": "\u9ad8",
  "submitTime": "2016-09-24",
  "title": "Trend Micro Smart Protection Server\u5b58\u5728\u591a\u4e2a\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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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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