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

CNVD-2018-12312

Vulnerability from cnvd - Published: 2018-06-28
VLAI
Title
ImageMagick堆缓冲区过读漏洞(CNVD-2018-12312)
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 7.0.7-37 Q16中的quantize.c中的SetGrayscaleImage存在堆缓冲区过读漏洞。允许攻击者通过一个精心制作的文件导致堆缓冲区被过度读取。
Severity
Patch Name
ImageMagick堆缓冲区过读漏洞(CNVD-2018-12312)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 7.0.7-37 Q16中的quantize.c中的SetGrayscaleImage存在堆缓冲区过读漏洞。允许攻击者通过一个精心制作的文件导致堆缓冲区被过度读取。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

厂商已发布漏洞修复程序,请及时关注更新: https://www.imagemagick.org/download/beta/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-11625
Impacted products
Name
ImageMagick ImageMagick 7.0.7-37 Q16
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-11625"
    }
  },
  "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 7.0.7-37 Q16\u4e2d\u7684quantize.c\u4e2d\u7684SetGrayscaleImage\u5b58\u5728\u5806\u7f13\u51b2\u533a\u8fc7\u8bfb\u6f0f\u6d1e\u3002\u5141\u8bb8\u653b\u51fb\u8005\u901a\u8fc7\u4e00\u4e2a\u7cbe\u5fc3\u5236\u4f5c\u7684\u6587\u4ef6\u5bfc\u81f4\u5806\u7f13\u51b2\u533a\u88ab\u8fc7\u5ea6\u8bfb\u53d6\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.imagemagick.org/download/beta/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-12312",
  "openTime": "2018-06-28",
  "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 7.0.7-37 Q16\u4e2d\u7684quantize.c\u4e2d\u7684SetGrayscaleImage\u5b58\u5728\u5806\u7f13\u51b2\u533a\u8fc7\u8bfb\u6f0f\u6d1e\u3002\u5141\u8bb8\u653b\u51fb\u8005\u901a\u8fc7\u4e00\u4e2a\u7cbe\u5fc3\u5236\u4f5c\u7684\u6587\u4ef6\u5bfc\u81f4\u5806\u7f13\u51b2\u533a\u88ab\u8fc7\u5ea6\u8bfb\u53d6\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\u5806\u7f13\u51b2\u533a\u8fc7\u8bfb\u6f0f\u6d1e\uff08CNVD-2018-12312\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "ImageMagick ImageMagick 7.0.7-37 Q16"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-11625",
  "serverity": "\u4e2d",
  "submitTime": "2018-06-01",
  "title": "ImageMagick\u5806\u7f13\u51b2\u533a\u8fc7\u8bfb\u6f0f\u6d1e\uff08CNVD-2018-12312\uff09"
}



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…