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CNVD-2017-37688

Vulnerability from cnvd - Published: 2017-12-21
VLAI
Title
libxls 'xls_preparseWorkSheet'函数整数溢出漏洞(CNVD-2017-37688)
Description
libxls是一个用于读取Exce(xls)文件的C语言库。 libxls 1.4版本中的'xls_preparseWorkSheet'函数存在整数溢出漏洞。远程攻击者可借助恶意的XLS文件利用该漏洞执行代码(内存破坏)。
Severity
Patch Name
libxls 'xls_preparseWorkSheet'函数整数溢出漏洞(CNVD-2017-37688)的补丁
Patch Description
libxls是一个用于读取Exce(xls)文件的C语言库。 libxls 1.4版本中的'xls_preparseWorkSheet'函数存在整数溢出漏洞。远程攻击者可借助恶意的XLS文件利用该漏洞执行代码(内存破坏)。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

厂商已发布了漏洞修复程序,请及时关注更新: http://libxls.sourceforge.net/

Reference
http://libxls.sourceforge.net/ https://nvd.nist.gov/vuln/detail/CVE-2017-12109
Impacted products
Name
libxls libxls 1.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-12109"
    }
  },
  "description": "libxls\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Exce\uff08xls\uff09\u6587\u4ef6\u7684C\u8bed\u8a00\u5e93\u3002\r\n\r\nlibxls 1.4\u7248\u672c\u4e2d\u7684\u0027xls_preparseWorkSheet\u0027\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684XLS\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\uff08\u5185\u5b58\u7834\u574f\uff09\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://libxls.sourceforge.net/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-37688",
  "openTime": "2017-12-21",
  "patchDescription": "libxls\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Exce\uff08xls\uff09\u6587\u4ef6\u7684C\u8bed\u8a00\u5e93\u3002\r\n\r\nlibxls 1.4\u7248\u672c\u4e2d\u7684\u0027xls_preparseWorkSheet\u0027\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684XLS\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\uff08\u5185\u5b58\u7834\u574f\uff09\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": "libxls \u0027xls_preparseWorkSheet\u0027\u51fd\u6570\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-37688\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "libxls libxls 1.4"
  },
  "referenceLink": "http://libxls.sourceforge.net/\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-12109",
  "serverity": "\u9ad8",
  "submitTime": "2017-11-25",
  "title": "libxls \u0027xls_preparseWorkSheet\u0027\u51fd\u6570\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-37688\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

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Nomenclature

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