CNVD-2015-01794

Vulnerability from cnvd - Published: 2015-03-18
VLAI
Title
Schneider Electric Pelco DS-NVs缓冲区溢出漏洞
Description
Schneider Electric Pelco DS-NVs是法国施耐德电气(Schneider Electric)公司的一套IP视频管理软件。 Schneider Electric Pelco DS-NVs 7.8.90之前版本的DLL中存在缓冲区溢出漏洞。远程攻击者可利用该漏洞执行任意代码。
Severity
Patch Name
Schneider Electric Pelco DS-NVs缓冲区溢出漏洞的补丁
Patch Description
Schneider Electric Pelco DS-NVs是法国施耐德电气(Schneider Electric)公司的一套IP视频管理软件。Schneider Electric Pelco DS-NVs 7.8.90之前版本的DLL中存在缓冲区溢出漏洞。远程攻击者可利用该漏洞执行任意代码。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

目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://buildingsdownloads.schneider-electric.com/search#range/61230

Reference
http://download.schneider-electric.com/files?p_File_Id=755516404&p_File_Name=SEVD-2015-065-01+Pelco+DS-NVs+Video+Mgmt+SW.pdf
Impacted products
Name
Schneider Electric Pelco DS-NVs <7.8.90
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "73096"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-0982"
    }
  },
  "description": "Schneider Electric Pelco DS-NVs\u662f\u6cd5\u56fd\u65bd\u8010\u5fb7\u7535\u6c14\uff08Schneider Electric\uff09\u516c\u53f8\u7684\u4e00\u5957IP\u89c6\u9891\u7ba1\u7406\u8f6f\u4ef6\u3002\r\n\r\nSchneider Electric Pelco DS-NVs 7.8.90\u4e4b\u524d\u7248\u672c\u7684DLL\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Schneider Electric",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://buildingsdownloads.schneider-electric.com/search#range/61230",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-01794",
  "openTime": "2015-03-18",
  "patchDescription": "Schneider Electric Pelco DS-NVs\u662f\u6cd5\u56fd\u65bd\u8010\u5fb7\u7535\u6c14\uff08Schneider Electric\uff09\u516c\u53f8\u7684\u4e00\u5957IP\u89c6\u9891\u7ba1\u7406\u8f6f\u4ef6\u3002Schneider Electric Pelco DS-NVs 7.8.90\u4e4b\u524d\u7248\u672c\u7684DLL\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "Schneider Electric Pelco DS-NVs\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Schneider Electric Pelco DS-NVs \u003c7.8.90"
  },
  "referenceLink": "http://download.schneider-electric.com/files?p_File_Id=755516404\u0026p_File_Name=SEVD-2015-065-01+Pelco+DS-NVs+Video+Mgmt+SW.pdf",
  "serverity": "\u9ad8",
  "submitTime": "2015-03-17",
  "title": "Schneider Electric Pelco DS-NVs\u7f13\u51b2\u533a\u6ea2\u51fa\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.
  • 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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