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

CNVD-2017-32443

Vulnerability from cnvd - Published: 2017-11-02
VLAI
Title
Potrace 'interpolate_cubic'函数越边界读取漏洞
Description
Potrace是软件开发者Peter Selinger所研发的一套位图图片处理工具。该工具提供添加平滑效果、自由缩放图片等功能。 Potrace 1.14版本中的mkbitmap.c文件的'interpolate_cubic'函数存在越边界读取漏洞。远程攻击者可利用该漏洞造成拒绝服务。
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://potrace.sourceforge.net

Reference
https://github.com/hackerlib/hackerlib-vul/tree/master/potrace/heap-buffer-overflow-mkbitmap
Impacted products
Name
Potrace Potrace 1.14
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-12067"
    }
  },
  "description": "Potrace\u662f\u8f6f\u4ef6\u5f00\u53d1\u8005Peter Selinger\u6240\u7814\u53d1\u7684\u4e00\u5957\u4f4d\u56fe\u56fe\u7247\u5904\u7406\u5de5\u5177\u3002\u8be5\u5de5\u5177\u63d0\u4f9b\u6dfb\u52a0\u5e73\u6ed1\u6548\u679c\u3001\u81ea\u7531\u7f29\u653e\u56fe\u7247\u7b49\u529f\u80fd\u3002\r\n\r\nPotrace 1.14\u7248\u672c\u4e2d\u7684mkbitmap.c\u6587\u4ef6\u7684\u0027interpolate_cubic\u0027\u51fd\u6570\u5b58\u5728\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "unknwon",
  "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://potrace.sourceforge.net",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-32443",
  "openTime": "2017-11-02",
  "products": {
    "product": "Potrace Potrace 1.14"
  },
  "referenceLink": "https://github.com/hackerlib/hackerlib-vul/tree/master/potrace/heap-buffer-overflow-mkbitmap",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-08",
  "title": "Potrace \u0027interpolate_cubic\u0027\u51fd\u6570\u8d8a\u8fb9\u754c\u8bfb\u53d6\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…