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CNVD-2016-05099

Vulnerability from cnvd - Published: 2016-07-21
VLAI
Title
Adobe Reader和Acrobat内存损坏漏洞
Description
Adobe Reader和Acrobat一款PDF文件相关软件。Adobe Reader是一款免费的PDF文件阅读器,Acrobat是一款PDF文件编辑和转换工具。 Adobe Reader和Acrobat中存在内存损坏漏洞,攻击者可利用该漏洞执行任意代码,或发起拒绝服务攻击。
Severity
Patch Name
Adobe Reader和Acrobat 内存损坏漏洞的补丁
Patch Description
Adobe Reader和Acrobat一款PDF文件相关软件。Adobe Reader是一款免费的PDF文件阅读器,Acrobat是一款PDF文件编辑和转换工具。 Adobe Reader和Acrobat中存在内存损坏漏洞,攻击者可利用该漏洞执行任意代码,或发起拒绝服务攻击。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://helpx.adobe.com/security/products/acrobat/apsb16-14.html

Reference
https://helpx.adobe.com/security/products/acrobat/apsb16-14.html
Impacted products
Name
Adobe Reader/Acrobat
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "90800"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-4119"
    }
  },
  "description": "Adobe Reader\u548cAcrobat\u4e00\u6b3ePDF\u6587\u4ef6\u76f8\u5173\u8f6f\u4ef6\u3002Adobe Reader\u662f\u4e00\u6b3e\u514d\u8d39\u7684PDF\u6587\u4ef6\u9605\u8bfb\u5668\uff0cAcrobat\u662f\u4e00\u6b3ePDF\u6587\u4ef6\u7f16\u8f91\u548c\u8f6c\u6362\u5de5\u5177\u3002\r\n\r\nAdobe Reader\u548cAcrobat\u4e2d\u5b58\u5728\u5185\u5b58\u635f\u574f\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u6216\u53d1\u8d77\u62d2\u7edd\u670d\u52a1\u653b\u51fb\u3002",
  "discovererName": "Kushal Arvind Shah and Kai Lu of Fortinet\u0027s FortiGuard Labs.",
  "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\uff1ahttps://helpx.adobe.com/security/products/acrobat/apsb16-14.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-05099",
  "openTime": "2016-07-21",
  "patchDescription": "Adobe Reader\u548cAcrobat\u4e00\u6b3ePDF\u6587\u4ef6\u76f8\u5173\u8f6f\u4ef6\u3002Adobe Reader\u662f\u4e00\u6b3e\u514d\u8d39\u7684PDF\u6587\u4ef6\u9605\u8bfb\u5668\uff0cAcrobat\u662f\u4e00\u6b3ePDF\u6587\u4ef6\u7f16\u8f91\u548c\u8f6c\u6362\u5de5\u5177\u3002\r\n\r\nAdobe Reader\u548cAcrobat\u4e2d\u5b58\u5728\u5185\u5b58\u635f\u574f\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u6216\u53d1\u8d77\u62d2\u7edd\u670d\u52a1\u653b\u51fb\u3002\u76ee\u524d\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": "Adobe Reader\u548cAcrobat \u5185\u5b58\u635f\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Adobe Reader/Acrobat"
  },
  "referenceLink": "https://helpx.adobe.com/security/products/acrobat/apsb16-14.html",
  "serverity": "\u4e2d",
  "submitTime": "2016-07-20",
  "title": "Adobe Reader\u548cAcrobat\u5185\u5b58\u635f\u574f\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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Detection rules are retrieved from Rulezet.

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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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