CNVD-2015-04237

Vulnerability from cnvd - Published: 2015-07-06
VLAI
Title
EMC Secure Remote Services Virtual Edition证书伪造漏洞
Description
EMC Secure Remote Services Virtual Edition是在EMC客户服务和终端用户的EMC产品及解决方案之间提供双向远程连接的远程服务虚拟版软件。 EMC Secure Remote Services Virtual Edition未能正确校验证书,允许远程攻击者构建特制证书伪造可信主机或服务。
Severity
中
Patch Name
EMC Secure Remote Services Virtual Edition证书伪造漏洞的补丁
Patch Description
EMC Secure Remote Services Virtual Edition是在EMC客户服务和终端用户的EMC产品及解决方案之间提供双向远程连接的远程服务虚拟版软件。EMC Secure Remote Services Virtual Edition未能正确校验证书,允许远程攻击者构建特制证书伪造可信主机或服务。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

EMC Secure Remote Services Virtual Edition 3.06已经修复该漏洞,建议用户下载更新: http://www.emc.com/

Reference
http://seclists.org/bugtraq/2015/Jun/att-132/ESA-2015-097.txt
Impacted products
Name
EMC Secure Remote Services Virtual Edition
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-0543"
    }
  },
  "description": "EMC Secure Remote Services Virtual Edition\u662f\u5728EMC\u5ba2\u6237\u670d\u52a1\u548c\u7ec8\u7aef\u7528\u6237\u7684EMC\u4ea7\u54c1\u53ca\u89e3\u51b3\u65b9\u6848\u4e4b\u95f4\u63d0\u4f9b\u53cc\u5411\u8fdc\u7a0b\u8fde\u63a5\u7684\u8fdc\u7a0b\u670d\u52a1\u865a\u62df\u7248\u8f6f\u4ef6\u3002\r\n\r\nEMC Secure Remote Services Virtual Edition\u672a\u80fd\u6b63\u786e\u6821\u9a8c\u8bc1\u4e66\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u6784\u5efa\u7279\u5236\u8bc1\u4e66\u4f2a\u9020\u53ef\u4fe1\u4e3b\u673a\u6216\u670d\u52a1\u3002",
  "discovererName": "EMC",
  "formalWay": "EMC Secure Remote Services Virtual Edition 3.06\u5df2\u7ecf\u4fee\u590d\u8be5\u6f0f\u6d1e\uff0c\u5efa\u8bae\u7528\u6237\u4e0b\u8f7d\u66f4\u65b0\uff1a\r\nhttp://www.emc.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-04237",
  "openTime": "2015-07-06",
  "patchDescription": "EMC Secure Remote Services Virtual Edition\u662f\u5728EMC\u5ba2\u6237\u670d\u52a1\u548c\u7ec8\u7aef\u7528\u6237\u7684EMC\u4ea7\u54c1\u53ca\u89e3\u51b3\u65b9\u6848\u4e4b\u95f4\u63d0\u4f9b\u53cc\u5411\u8fdc\u7a0b\u8fde\u63a5\u7684\u8fdc\u7a0b\u670d\u52a1\u865a\u62df\u7248\u8f6f\u4ef6\u3002EMC Secure Remote Services Virtual Edition\u672a\u80fd\u6b63\u786e\u6821\u9a8c\u8bc1\u4e66\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u6784\u5efa\u7279\u5236\u8bc1\u4e66\u4f2a\u9020\u53ef\u4fe1\u4e3b\u673a\u6216\u670d\u52a1\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": "EMC Secure Remote Services Virtual Edition\u8bc1\u4e66\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "EMC Secure Remote Services Virtual Edition"
  },
  "referenceLink": "http://seclists.org/bugtraq/2015/Jun/att-132/ESA-2015-097.txt",
  "serverity": "\u4e2d",
  "submitTime": "2015-07-02",
  "title": "EMC Secure Remote Services Virtual Edition\u8bc1\u4e66\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

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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