CNVD-2019-12510

Vulnerability from cnvd - Published: 2019-04-27
VLAI
Title
GraphicsMagick内存泄漏漏洞
Description
GraphicsMagick是一套简单的图像处理工具。该工具对图像提供尺寸调整、旋转、加亮等功能。 GraphicsMagick 1.4 snapshot-20190322 Q8中的coders/mpc.c中的ReadMPCImage函数存在内存泄漏漏洞,攻击者可通过特制图像文件利用该漏洞导致拒绝服务。
Severity
中
Patch Name
GraphicsMagick内存泄漏漏洞的补丁
Patch Description
GraphicsMagick是一套简单的图像处理工具。该工具对图像提供尺寸调整、旋转、加亮等功能。 GraphicsMagick 1.4 snapshot-20190322 Q8中的coders/mpc.c中的ReadMPCImage函数存在内存泄漏漏洞,攻击者可通过特制图像文件利用该漏洞导致拒绝服务。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

厂商已发布了漏洞修复程序,请及时关注更新: http://hg.graphicsmagick.org/hg/GraphicsMagick/rev/a348d9661019

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-11010
Impacted products
Name
GraphicsMagick GraphicsMagick 1.4 snapshot-20190322 Q8
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-11010"
    }
  },
  "description": "GraphicsMagick\u662f\u4e00\u5957\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u5de5\u5177\u3002\u8be5\u5de5\u5177\u5bf9\u56fe\u50cf\u63d0\u4f9b\u5c3a\u5bf8\u8c03\u6574\u3001\u65cb\u8f6c\u3001\u52a0\u4eae\u7b49\u529f\u80fd\u3002\n\nGraphicsMagick 1.4 snapshot-20190322 Q8\u4e2d\u7684coders/mpc.c\u4e2d\u7684ReadMPCImage\u51fd\u6570\u5b58\u5728\u5185\u5b58\u6cc4\u6f0f\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236\u56fe\u50cf\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "Bob Friesenhahn",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://hg.graphicsmagick.org/hg/GraphicsMagick/rev/a348d9661019",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-12510",
  "openTime": "2019-04-27",
  "patchDescription": "GraphicsMagick\u662f\u4e00\u5957\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u5de5\u5177\u3002\u8be5\u5de5\u5177\u5bf9\u56fe\u50cf\u63d0\u4f9b\u5c3a\u5bf8\u8c03\u6574\u3001\u65cb\u8f6c\u3001\u52a0\u4eae\u7b49\u529f\u80fd\u3002\r\n\r\nGraphicsMagick 1.4 snapshot-20190322 Q8\u4e2d\u7684coders/mpc.c\u4e2d\u7684ReadMPCImage\u51fd\u6570\u5b58\u5728\u5185\u5b58\u6cc4\u6f0f\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236\u56fe\u50cf\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\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\u5185\u5b58\u6cc4\u6f0f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GraphicsMagick GraphicsMagick 1.4 snapshot-20190322 Q8"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-11010",
  "serverity": "\u4e2d",
  "submitTime": "2019-04-09",
  "title": "GraphicsMagick\u5185\u5b58\u6cc4\u6f0f\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…

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…