CNVD-2018-06072

Vulnerability from cnvd - Published: 2018-03-23
VLAI
Title
Graphite2 libgraphite2拒绝服务漏洞
Description
Graphite2是一套用于处理多种文字智能字体系统。libgraphite2是其中的一个库。 Graphite2 1.3.11版本中的libgraphite2的Segment.cpp文件存在安全漏洞。攻击者可借助特制的.ttf文件利用该漏洞造成拒绝服务(空指针逆向引用)。
Severity
Patch Name
Graphite2 libgraphite2拒绝服务漏洞的补丁
Patch Description
Graphite2是一套用于处理多种文字智能字体系统。libgraphite2是其中的一个库。 Graphite2 1.3.11版本中的libgraphite2的Segment.cpp文件存在安全漏洞。攻击者可借助特制的.ttf文件利用该漏洞造成拒绝服务(空指针逆向引用)。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://github.com/silnrsi/graphite/commit/db132b4731a9b4c9534144ba3a18e65b390e9ff6

Reference
https://github.com/silnrsi/graphite/commit/db132b4731a9b4c9534144ba3a18e65b390e9ff6 https://github.com/silnrsi/graphite/issues/22
Impacted products
Name
Graphite2 Graphite2 1.3.11
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-7999"
    }
  },
  "description": "Graphite2\u662f\u4e00\u5957\u7528\u4e8e\u5904\u7406\u591a\u79cd\u6587\u5b57\u667a\u80fd\u5b57\u4f53\u7cfb\u7edf\u3002libgraphite2\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5e93\u3002\r\n\r\nGraphite2 1.3.11\u7248\u672c\u4e2d\u7684libgraphite2\u7684Segment.cpp\u6587\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684.ttf\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u7a7a\u6307\u9488\u9006\u5411\u5f15\u7528\uff09\u3002",
  "discovererName": "mhosken",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5:\r\nhttps://github.com/silnrsi/graphite/commit/db132b4731a9b4c9534144ba3a18e65b390e9ff6",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-06072",
  "openTime": "2018-03-23",
  "patchDescription": "Graphite2\u662f\u4e00\u5957\u7528\u4e8e\u5904\u7406\u591a\u79cd\u6587\u5b57\u667a\u80fd\u5b57\u4f53\u7cfb\u7edf\u3002libgraphite2\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5e93\u3002\r\n\r\nGraphite2 1.3.11\u7248\u672c\u4e2d\u7684libgraphite2\u7684Segment.cpp\u6587\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684.ttf\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u7a7a\u6307\u9488\u9006\u5411\u5f15\u7528\uff09\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": "Graphite2 libgraphite2\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Graphite2 Graphite2 1.3.11"
  },
  "referenceLink": "https://github.com/silnrsi/graphite/commit/db132b4731a9b4c9534144ba3a18e65b390e9ff6\r\nhttps://github.com/silnrsi/graphite/issues/22",
  "serverity": "\u4e2d",
  "submitTime": "2018-03-14",
  "title": "Graphite2 libgraphite2\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}



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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

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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.

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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.


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