CNVD-2021-20205

Vulnerability from cnvd - Published: 2021-03-22
VLAI
Title
GitHub Flavored Markdown输入验证错误漏洞
Description
GitHub Flavored Markdown是美国GitHub公司的一款使用在C语言中的CommonMark解析和渲染库。 GitHub Flavored Markdown 0.29.0.gfm.1之前版本中存在输入验证错误漏洞。该漏洞源于网络系统或产品未对输入的数据进行正确的验证。攻击者可利用该漏洞造成拒绝服务。
Severity
中
Patch Name
GitHub Flavored Markdown输入验证错误漏洞的补丁
Patch Description
GitHub Flavored Markdown是美国GitHub公司的一款使用在C语言中的CommonMark解析和渲染库。 GitHub Flavored Markdown 0.29.0.gfm.1之前版本中存在输入验证错误漏洞。该漏洞源于网络系统或产品未对输入的数据进行正确的验证。攻击者可利用该漏洞造成拒绝服务。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

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/github/cmark-gfm/security/advisories/GHSA-7gc6-9qr5-hc85

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-5238
Impacted products
Name
github Flavored Markdown <0.29.0.gfm.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5238"
    }
  },
  "description": "GitHub Flavored Markdown\u662f\u7f8e\u56fdGitHub\u516c\u53f8\u7684\u4e00\u6b3e\u4f7f\u7528\u5728C\u8bed\u8a00\u4e2d\u7684CommonMark\u89e3\u6790\u548c\u6e32\u67d3\u5e93\u3002\n\nGitHub Flavored Markdown 0.29.0.gfm.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5bf9\u8f93\u5165\u7684\u6570\u636e\u8fdb\u884c\u6b63\u786e\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/github/cmark-gfm/security/advisories/GHSA-7gc6-9qr5-hc85",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-20205",
  "openTime": "2021-03-22",
  "patchDescription": "GitHub Flavored Markdown\u662f\u7f8e\u56fdGitHub\u516c\u53f8\u7684\u4e00\u6b3e\u4f7f\u7528\u5728C\u8bed\u8a00\u4e2d\u7684CommonMark\u89e3\u6790\u548c\u6e32\u67d3\u5e93\u3002\r\n\r\nGitHub Flavored Markdown 0.29.0.gfm.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5bf9\u8f93\u5165\u7684\u6570\u636e\u8fdb\u884c\u6b63\u786e\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\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": "GitHub Flavored Markdown\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "github Flavored Markdown \u003c0.29.0.gfm.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5238",
  "serverity": "\u4e2d",
  "submitTime": "2020-07-02",
  "title": "GitHub Flavored Markdown\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\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

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.

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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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