GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2017-30334

Vulnerability from cnvd - Published: 2017-10-17
VLAI
Title
ImageMagick和GraphicsMagick信息泄露漏洞
Description
ImageMagick是一个用来创建、编辑、合成图片的软件,可以读取、转换、写入多种格式的图片。 ImageMagick 7.0.6-1版本和GraphicsMagick 1.3.26版本中的coders/gif.c文件的ReadGIFImage存在安全漏洞。攻击者可利用该漏洞获取数据。
Severity
Patch Name
ImageMagick和GraphicsMagick信息泄露漏洞的补丁
Patch Description
ImageMagick是一个用来创建、编辑、合成图片的软件,可以读取、转换、写入多种格式的图片。 ImageMagick 7.0.6-1版本和GraphicsMagick 1.3.26版本中的coders/gif.c文件的ReadGIFImage存在安全漏洞。攻击者可利用该漏洞获取数据。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: https://github.com/ImageMagick/ImageMagick/commit/9fd10cf630832b36a588c1545d8736539b2f1fb5

Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-15277
Impacted products
Name
['GraphicsMagick Graphicsmagick 1.3.26', 'ImageMagick ImageMagick 7.0.6-1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-15277"
    }
  },
  "description": "ImageMagick\u662f\u4e00\u4e2a\u7528\u6765\u521b\u5efa\u3001\u7f16\u8f91\u3001\u5408\u6210\u56fe\u7247\u7684\u8f6f\u4ef6\uff0c\u53ef\u4ee5\u8bfb\u53d6\u3001\u8f6c\u6362\u3001\u5199\u5165\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\u3002\r\n\r\nImageMagick 7.0.6-1\u7248\u672c\u548cGraphicsMagick 1.3.26\u7248\u672c\u4e2d\u7684coders/gif.c\u6587\u4ef6\u7684ReadGIFImage\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6570\u636e\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/ImageMagick/ImageMagick/commit/9fd10cf630832b36a588c1545d8736539b2f1fb5",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-30334",
  "openTime": "2017-10-17",
  "patchDescription": "ImageMagick\u662f\u4e00\u4e2a\u7528\u6765\u521b\u5efa\u3001\u7f16\u8f91\u3001\u5408\u6210\u56fe\u7247\u7684\u8f6f\u4ef6\uff0c\u53ef\u4ee5\u8bfb\u53d6\u3001\u8f6c\u6362\u3001\u5199\u5165\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\u3002\r\n\r\nImageMagick 7.0.6-1\u7248\u672c\u548cGraphicsMagick 1.3.26\u7248\u672c\u4e2d\u7684coders/gif.c\u6587\u4ef6\u7684ReadGIFImage\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6570\u636e\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": "ImageMagick\u548cGraphicsMagick\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "GraphicsMagick Graphicsmagick 1.3.26",
      "ImageMagick ImageMagick 7.0.6-1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-15277",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-12",
  "title": "ImageMagick\u548cGraphicsMagick\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…