CNVD-2017-18107

Vulnerability from cnvd - Published: 2017-08-02
VLAI
Title
GraphicsMagick 'coders/tiff.c'缓冲区溢出漏洞
Description
GraphicsMagick号称图像处理领域的瑞士军刀。短小精悍的代码却提供了一个鲁棒、高效的工具和库集合,可处理图像的读取、写入和操作,支持超过88种图像格式,包括重要的DPX、GIF、JPEG、JPEG-2000、PNG、PDF、PNM和TIFF。 GraphicsMagick中的coders/tiff.c处理RGB TIFF图片(含指示每个像素的单个样本的元数据)存在缓冲区溢出漏洞,攻击者可以利用该漏洞拒绝服务。
Severity
Patch Name
GraphicsMagick'coders/tiff.c'缓冲区溢出漏洞的补丁
Patch Description
GraphicsMagick号称图像处理领域的瑞士军刀。短小精悍的代码却提供了一个鲁棒、高效的工具和库集合,可处理图像的读取、写入和操作,支持超过88种图像格式,包括重要的DPX、GIF、JPEG、JPEG-2000、PNG、PDF、PNM和TIFF。 GraphicsMagick中的coders/tiff.c处理RGB TIFF图片(含指示每个像素的单个样本的元数据)存在缓冲区溢出漏洞,攻击者可以利用该漏洞拒绝服务。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

用户可参考如下厂商提供的安全补丁以修复该漏洞: https://sourceforge.net/p/graphicsmagick/code/ci/a20bee0a0ad216aa11a2be3de63b60ca6bef4106/

Reference
https://sourceforge.net/p/graphicsmagick/code/ci/a20bee0a0ad216aa11a2be3de63b60ca6bef4106/ https://nvd.nist.gov/vuln/detail/CVE-2017-10794
Impacted products
Name
GraphicsMagick GraphicsMagick 1.3.25
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "99355"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-10794"
    }
  },
  "description": "GraphicsMagick\u53f7\u79f0\u56fe\u50cf\u5904\u7406\u9886\u57df\u7684\u745e\u58eb\u519b\u5200\u3002\u77ed\u5c0f\u7cbe\u608d\u7684\u4ee3\u7801\u5374\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9c81\u68d2\u3001\u9ad8\u6548\u7684\u5de5\u5177\u548c\u5e93\u96c6\u5408\uff0c\u53ef\u5904\u7406\u56fe\u50cf\u7684\u8bfb\u53d6\u3001\u5199\u5165\u548c\u64cd\u4f5c\uff0c\u652f\u6301\u8d85\u8fc788\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5305\u62ec\u91cd\u8981\u7684DPX\u3001GIF\u3001JPEG\u3001JPEG-2000\u3001PNG\u3001PDF\u3001PNM\u548cTIFF\u3002\r\n\r\nGraphicsMagick\u4e2d\u7684coders/tiff.c\u5904\u7406RGB TIFF\u56fe\u7247\uff08\u542b\u6307\u793a\u6bcf\u4e2a\u50cf\u7d20\u7684\u5355\u4e2a\u6837\u672c\u7684\u5143\u6570\u636e\uff09\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "GraphicsMagick",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://sourceforge.net/p/graphicsmagick/code/ci/a20bee0a0ad216aa11a2be3de63b60ca6bef4106/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-18107",
  "openTime": "2017-08-02",
  "patchDescription": "GraphicsMagick\u53f7\u79f0\u56fe\u50cf\u5904\u7406\u9886\u57df\u7684\u745e\u58eb\u519b\u5200\u3002\u77ed\u5c0f\u7cbe\u608d\u7684\u4ee3\u7801\u5374\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9c81\u68d2\u3001\u9ad8\u6548\u7684\u5de5\u5177\u548c\u5e93\u96c6\u5408\uff0c\u53ef\u5904\u7406\u56fe\u50cf\u7684\u8bfb\u53d6\u3001\u5199\u5165\u548c\u64cd\u4f5c\uff0c\u652f\u6301\u8d85\u8fc788\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5305\u62ec\u91cd\u8981\u7684DPX\u3001GIF\u3001JPEG\u3001JPEG-2000\u3001PNG\u3001PDF\u3001PNM\u548cTIFF\u3002\r\n\r\nGraphicsMagick\u4e2d\u7684coders/tiff.c\u5904\u7406RGB TIFF\u56fe\u7247\uff08\u542b\u6307\u793a\u6bcf\u4e2a\u50cf\u7d20\u7684\u5355\u4e2a\u6837\u672c\u7684\u5143\u6570\u636e\uff09\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u62d2\u7edd\u670d\u52a1\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": "GraphicsMagick\u0027coders/tiff.c\u0027\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GraphicsMagick GraphicsMagick 1.3.25"
  },
  "referenceLink": "https://sourceforge.net/p/graphicsmagick/code/ci/a20bee0a0ad216aa11a2be3de63b60ca6bef4106/\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-10794",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-03",
  "title": "GraphicsMagick \u0027coders/tiff.c\u0027\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}



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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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