CNVD-2016-03873

Vulnerability from cnvd - Published: 2016-06-08
VLAI
Title
Lenovo Accelerator Application中间人攻击漏洞
Description
Lenovo Accelerator Application是中国联想(Lenovo)公司的一套专门为Intel芯片组设计的加速程序。 Lenovo Accelerator Application中的UpdateAgent存在中间人攻击漏洞。攻击者可通过伪造更新响应信息利用该漏洞实施中间人攻击,执行任意代码。
Severity
Patch Name
Lenovo Accelerator Application中间人攻击漏洞的补丁
Patch Description
Lenovo Accelerator Application是中国联想(Lenovo)公司的一套专门为Intel芯片组设计的加速程序。 Lenovo Accelerator Application中的UpdateAgent存在中间人攻击漏洞。攻击者可通过伪造更新响应信息利用该漏洞实施中间人攻击,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://support.lenovo.com/us/zh/product_security/len_6718

Reference
https://support.lenovo.com/us/en/product_security/len_6718 https://duo.com/blog/out-of-box-exploitation-a-security-analysis-of-oem-updaters
Impacted products
Name
Lenovo Accelerator Application
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-3944"
    }
  },
  "description": "Lenovo Accelerator Application\u662f\u4e2d\u56fd\u8054\u60f3\uff08Lenovo\uff09\u516c\u53f8\u7684\u4e00\u5957\u4e13\u95e8\u4e3aIntel\u82af\u7247\u7ec4\u8bbe\u8ba1\u7684\u52a0\u901f\u7a0b\u5e8f\u3002\r\n\r\nLenovo Accelerator Application\u4e2d\u7684UpdateAgent\u5b58\u5728\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4f2a\u9020\u66f4\u65b0\u54cd\u5e94\u4fe1\u606f\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Lenovo",
  "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://support.lenovo.com/us/zh/product_security/len_6718",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-03873",
  "openTime": "2016-06-08",
  "patchDescription": "Lenovo Accelerator Application\u662f\u4e2d\u56fd\u8054\u60f3\uff08Lenovo\uff09\u516c\u53f8\u7684\u4e00\u5957\u4e13\u95e8\u4e3aIntel\u82af\u7247\u7ec4\u8bbe\u8ba1\u7684\u52a0\u901f\u7a0b\u5e8f\u3002\r\n\r\nLenovo Accelerator Application\u4e2d\u7684UpdateAgent\u5b58\u5728\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4f2a\u9020\u66f4\u65b0\u54cd\u5e94\u4fe1\u606f\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\uff0c\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": "Lenovo Accelerator Application\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Lenovo Accelerator Application"
  },
  "referenceLink": "https://support.lenovo.com/us/en/product_security/len_6718\r\nhttps://duo.com/blog/out-of-box-exploitation-a-security-analysis-of-oem-updaters",
  "serverity": "\u9ad8",
  "submitTime": "2016-06-07",
  "title": "Lenovo Accelerator Application\u4e2d\u95f4\u4eba\u653b\u51fb\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.
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  • 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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