CNVD-2017-01245

Vulnerability from cnvd - Published: 2017-02-13
VLAI
Title
Adobe Acrobat Reader缓冲区溢出漏洞(CNVD-2017-01245)
Description
Adobe Acrobat Reader是美国奥多比(Adobe)公司的一套PDF文档阅读软件。 Adobe Acrobat Reader中存在堆缓冲区溢出漏洞。攻击者可利用该漏洞执行任意代码。
Severity
Patch Name
Adobe Acrobat Reader缓冲区溢出漏洞(CNVD-2017-01245)的补丁
Patch Description
Adobe Acrobat Reader是美国奥多比(Adobe)公司的一套PDF文档阅读软件。 Adobe Acrobat Reader中存在堆缓冲区溢出漏洞。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://helpx.adobe.com/security/products/acrobat/apsb17-01.html

Reference
http://www.securityfocus.com/bid/95690
Impacted products
Name
['Adobe Acrobat reader <=15.006.30244', 'Adobe Acrobat reader <=15.020.20042', 'Adobe Acrobat reader <=11.0.18']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "95690"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-2972"
    }
  },
  "description": "Adobe Acrobat Reader\u662f\u7f8e\u56fd\u5965\u591a\u6bd4\uff08Adobe\uff09\u516c\u53f8\u7684\u4e00\u5957PDF\u6587\u6863\u9605\u8bfb\u8f6f\u4ef6\u3002\r\n\r\nAdobe Acrobat Reader\u4e2d\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Anonymous working with Trend Micro\u0027s Zero Day Initiative, Aleksandar Nikolic of Cisco Talos and Ke Liu of Tencent\u0027s Xuanwu LAB",
  "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://helpx.adobe.com/security/products/acrobat/apsb17-01.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-01245",
  "openTime": "2017-02-13",
  "patchDescription": "Adobe Acrobat Reader\u662f\u7f8e\u56fd\u5965\u591a\u6bd4\uff08Adobe\uff09\u516c\u53f8\u7684\u4e00\u5957PDF\u6587\u6863\u9605\u8bfb\u8f6f\u4ef6\u3002\r\n\r\nAdobe Acrobat Reader\u4e2d\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\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": "Adobe Acrobat Reader\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-01245\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Adobe Acrobat reader \u003c=15.006.30244",
      "Adobe Acrobat reader  \u003c=15.020.20042",
      "Adobe Acrobat reader \u003c=11.0.18"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/95690",
  "serverity": "\u9ad8",
  "submitTime": "2017-02-06",
  "title": "Adobe Acrobat Reader\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-01245\uff09"
}



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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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