CNVD-2021-22851

Vulnerability from cnvd - Published: 2021-03-26
VLAI
Title
Pygments拒绝服务攻击漏洞
Description
Pygments是一种通用语法高亮显示工具,适用于代码托管、论坛、维基或其他需要美化源代码的应用程序。 Pygments 1.5到2.7.3版本存在拒绝服务漏洞。漏洞产生的原因是Pygments中的SMLLexer中的无限循环。攻击者可以利用此漏洞导致在执行标准ML(SML)源文件的语法突出显示时拒绝服务。
Severity
Formal description

厂商未提供漏洞修复方案,请关注厂商主页更新: https://pygments.org/docs/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-20270
Impacted products
Name
Pygments Pygments >=1.5,<=2.7.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-20270",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-20270"
    }
  },
  "description": "Pygments\u662f\u4e00\u79cd\u901a\u7528\u8bed\u6cd5\u9ad8\u4eae\u663e\u793a\u5de5\u5177\uff0c\u9002\u7528\u4e8e\u4ee3\u7801\u6258\u7ba1\u3001\u8bba\u575b\u3001\u7ef4\u57fa\u6216\u5176\u4ed6\u9700\u8981\u7f8e\u5316\u6e90\u4ee3\u7801\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\n\nPygments 1.5\u52302.7.3\u7248\u672c\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u6f0f\u6d1e\u4ea7\u751f\u7684\u539f\u56e0\u662fPygments\u4e2d\u7684SMLLexer\u4e2d\u7684\u65e0\u9650\u5faa\u73af\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u6f0f\u6d1e\u5bfc\u81f4\u5728\u6267\u884c\u6807\u51c6ML\uff08SML\uff09\u6e90\u6587\u4ef6\u7684\u8bed\u6cd5\u7a81\u51fa\u663e\u793a\u65f6\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u5382\u5546\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://pygments.org/docs/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-22851",
  "openTime": "2021-03-26",
  "products": {
    "product": "Pygments Pygments \u003e=1.5\uff0c\u003c=2.7.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-20270",
  "serverity": "\u4e2d",
  "submitTime": "2021-03-25",
  "title": "Pygments\u62d2\u7edd\u670d\u52a1\u653b\u51fb\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.
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  • 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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