CNVD-2018-10080

Vulnerability from cnvd - Published: 2018-05-23
VLAI
Title
Foxit Reader堆缓冲溢出漏洞
Description
Foxit Reader是一款小型的PDF文档查看器和打印程序。 Foxit Reader在BMP图形解析中存在安全漏洞,由于对用户提供的数据未进行适当验证,导致攻击者可利用漏洞在当前进程上下文中执行任意代码。
Severity
Patch Name
Foxit Reader堆缓冲溢出漏洞的补丁
Patch Description
Foxit Reader是一款小型的PDF文档查看器和打印程序。 Foxit Reader在BMP图形解析中存在安全漏洞,由于对用户提供的数据未进行适当验证,导致攻击者可利用漏洞在当前进程上下文中执行任意代码。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这个安全问题,请到厂商的主页下载: https://www.foxitsoftware.com/support/security-bulletins.php

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-9947 https://www.zerodayinitiative.com/advisories/ZDI-18-331/
Impacted products
Name
Foxit Reader 9.0.0.29935
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-9947",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-9947"
    }
  },
  "description": "Foxit Reader\u662f\u4e00\u6b3e\u5c0f\u578b\u7684PDF\u6587\u6863\u67e5\u770b\u5668\u548c\u6253\u5370\u7a0b\u5e8f\u3002\r\n\r\nFoxit Reader\u5728BMP\u56fe\u5f62\u89e3\u6790\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u7531\u4e8e\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u672a\u8fdb\u884c\u9002\u5f53\u9a8c\u8bc1\uff0c\u5bfc\u81f4\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u5f53\u524d\u8fdb\u7a0b\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "willJ of Tencent PC Manager",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://www.foxitsoftware.com/support/security-bulletins.php",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-10080",
  "openTime": "2018-05-23",
  "patchDescription": "Foxit Reader\u662f\u4e00\u6b3e\u5c0f\u578b\u7684PDF\u6587\u6863\u67e5\u770b\u5668\u548c\u6253\u5370\u7a0b\u5e8f\u3002\r\n\r\nFoxit Reader\u5728BMP\u56fe\u5f62\u89e3\u6790\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u7531\u4e8e\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u672a\u8fdb\u884c\u9002\u5f53\u9a8c\u8bc1\uff0c\u5bfc\u81f4\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u5f53\u524d\u8fdb\u7a0b\u4e0a\u4e0b\u6587\u4e2d\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": "Foxit Reader\u5806\u7f13\u51b2\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Foxit Reader 9.0.0.29935"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-9947\r\nhttps://www.zerodayinitiative.com/advisories/ZDI-18-331/",
  "serverity": "\u4e2d",
  "submitTime": "2018-04-28",
  "title": "Foxit Reader\u5806\u7f13\u51b2\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

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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