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

CNVD-2018-08256

Vulnerability from cnvd - Published: 2018-04-25
VLAI
Title
GEGL拒绝服务漏洞(CNVD-2018-08256)
Description
GEGL是一款基于数据流的图像处理框架。该框架为GNU图像操作程序等项目提供浮点处理和无损图像处理功能。 GEGL 0.3.32及之前版本中存在安全漏洞,该漏洞源于operations/external/ppm-load.c文件的‘process’函数未能限制内存的分配。攻击者可利用该漏洞造成拒绝服务(应用程序崩溃)。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: http://www.gegl.org/

Reference
https://github.com/xiaoqx/pocs/tree/master/gegl
Impacted products
Name
gegl gegl <=0.3.32
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10113"
    }
  },
  "description": "GEGL\u662f\u4e00\u6b3e\u57fa\u4e8e\u6570\u636e\u6d41\u7684\u56fe\u50cf\u5904\u7406\u6846\u67b6\u3002\u8be5\u6846\u67b6\u4e3aGNU\u56fe\u50cf\u64cd\u4f5c\u7a0b\u5e8f\u7b49\u9879\u76ee\u63d0\u4f9b\u6d6e\u70b9\u5904\u7406\u548c\u65e0\u635f\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\r\n\r\nGEGL 0.3.32\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eoperations/external/ppm-load.c\u6587\u4ef6\u7684\u2018process\u2019\u51fd\u6570\u672a\u80fd\u9650\u5236\u5185\u5b58\u7684\u5206\u914d\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\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\nhttp://www.gegl.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-08256",
  "openTime": "2018-04-25",
  "products": {
    "product": "gegl gegl \u003c=0.3.32"
  },
  "referenceLink": "https://github.com/xiaoqx/pocs/tree/master/gegl",
  "serverity": "\u4e2d",
  "submitTime": "2018-04-16",
  "title": "GEGL\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2018-08256\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…