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CNVD-2017-02539

Vulnerability from cnvd - Published: 2017-03-09
VLAI
Title
Iceni Argus堆缓冲区溢出漏洞(CNVD-2017-02539)
Description
Iceni Argus是英国Iceni公司的一套PDF文档类型转换工具。 Iceni Argus处理特殊的PDF文件存在堆缓冲区溢出漏洞,允许攻击者可利用漏洞构建恶意PDF文件,诱使用户解析,可使应用程序崩溃。
Severity
Patch Name
Iceni Argus堆缓冲区溢出漏洞(CNVD-2017-02539)的补丁
Patch Description
Iceni Argus是英国Iceni公司的一套PDF文档类型转换工具。 Iceni Argus处理特殊的PDF文件存在堆缓冲区溢出漏洞,允许攻击者可利用漏洞构建恶意PDF文件,诱使用户解析,可使应用程序崩溃。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,详情请关注厂商主页: http://www.talosintelligence.com/reports/TALOS-2016-0210/

Reference
http://www.talosintelligence.com/reports/TALOS-2016-0210/
Impacted products
Name
Iceni Technology Argus 6.6.04
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "96472"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-8385",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-8385"
    }
  },
  "description": "Iceni Argus\u662f\u82f1\u56fdIceni\u516c\u53f8\u7684\u4e00\u5957PDF\u6587\u6863\u7c7b\u578b\u8f6c\u6362\u5de5\u5177\u3002\r\n\r\nIceni Argus\u5904\u7406\u7279\u6b8a\u7684PDF\u6587\u4ef6\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610fPDF\u6587\u4ef6\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "discovererName": "Marcin Noga of Cisco Talos and a Talos team member",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875:\r\nhttp://www.talosintelligence.com/reports/TALOS-2016-0210/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-02539",
  "openTime": "2017-03-09",
  "patchDescription": "Iceni Argus\u662f\u82f1\u56fdIceni\u516c\u53f8\u7684\u4e00\u5957PDF\u6587\u6863\u7c7b\u578b\u8f6c\u6362\u5de5\u5177\u3002\r\n\r\nIceni Argus\u5904\u7406\u7279\u6b8a\u7684PDF\u6587\u4ef6\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610fPDF\u6587\u4ef6\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\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": "Iceni Argus\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-02539\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Iceni Technology Argus 6.6.04"
  },
  "referenceLink": "http://www.talosintelligence.com/reports/TALOS-2016-0210/",
  "serverity": "\u9ad8",
  "submitTime": "2017-02-28",
  "title": "Iceni Argus\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-02539\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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