cnvd-2018-26465
Vulnerability from cnvd
Title
libjpeg-turbo整数溢出漏洞
Description
libjpeg是一个包含JPEG解码以及JPEG编码等功能的C语言库。libjpeg-turbo是libjpeg的一个优化改进版本。 libjpeg-turbo 2.0.1版本中的‘tjLoadImage’函数存在整数溢出漏洞。攻击者可借助BMP图像利用该漏洞造成基于堆的缓冲区溢出。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://libjpeg-turbo.org/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-20330
Impacted products
Name
libjpeg-turbo libjpeg-turbo 2.0.1
Show details on source website


{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-20330"
    }
  },
  "description": "libjpeg\u662f\u4e00\u4e2a\u5305\u542bJPEG\u89e3\u7801\u4ee5\u53caJPEG\u7f16\u7801\u7b49\u529f\u80fd\u7684C\u8bed\u8a00\u5e93\u3002libjpeg-turbo\u662flibjpeg\u7684\u4e00\u4e2a\u4f18\u5316\u6539\u8fdb\u7248\u672c\u3002\n\nlibjpeg-turbo 2.0.1\u7248\u672c\u4e2d\u7684\u2018tjLoadImage\u2019\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9BMP\u56fe\u50cf\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u57fa\u4e8e\u5806\u7684\u7f13\u51b2\u533a\u6ea2\u51fa\u3002",
  "discovererName": "unKnow",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://libjpeg-turbo.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-26465",
  "openTime": "2018-12-25",
  "products": {
    "product": "libjpeg-turbo libjpeg-turbo 2.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-20330",
  "serverity": "\u4e2d",
  "submitTime": "2018-12-24",
  "title": "libjpeg-turbo\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e"
}


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