CNVD-2017-00053

Vulnerability from cnvd - Published: 2017-01-03
VLAI
Title
html5lib跨站脚本漏洞(CNVD-2017-00053)
Description
html5lib是一个用于解析HTML的Python库。 html5lib中存在跨站脚本漏洞,该漏洞源于程序未能充分地过滤用户提交的输入。当用户浏览受影响的站点时,攻击者可利用该漏洞在用户的浏览器中执行任意脚本代码,窃取基于cookie的身份验证证书。
Severity
中
Patch Name
html5lib跨站脚本漏洞(CNVD-2017-00053)的补丁
Patch Description
html5lib是一个用于解析HTML的Python库。 html5lib中存在跨站脚本漏洞,该漏洞源于程序未能充分地过滤用户提交的输入。当用户浏览受影响的站点时,攻击者可利用该漏洞在用户的浏览器中执行任意脚本代码,窃取基于cookie的身份验证证书。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

用户可联系供应商获得补丁信息: https://github.com/html5lib/html5lib-python

Reference
http://www.securityfocus.com/bid/95132
Impacted products
Name
html5lib html5lib
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "95132"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-9910"
    }
  },
  "description": "html5lib\u662f\u4e00\u4e2a\u7528\u4e8e\u89e3\u6790HTML\u7684Python\u5e93\u3002\r\n\r\nhtml5lib\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u5730\u8fc7\u6ee4\u7528\u6237\u63d0\u4ea4\u7684\u8f93\u5165\u3002\u5f53\u7528\u6237\u6d4f\u89c8\u53d7\u5f71\u54cd\u7684\u7ad9\u70b9\u65f6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u7684\u6d4f\u89c8\u5668\u4e2d\u6267\u884c\u4efb\u610f\u811a\u672c\u4ee3\u7801\uff0c\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bc1\u4e66\u3002",
  "discovererName": "zcorpan",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://github.com/html5lib/html5lib-python",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-00053",
  "openTime": "2017-01-03",
  "patchDescription": "html5lib\u662f\u4e00\u4e2a\u7528\u4e8e\u89e3\u6790HTML\u7684Python\u5e93\u3002\r\n\r\nhtml5lib\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u5730\u8fc7\u6ee4\u7528\u6237\u63d0\u4ea4\u7684\u8f93\u5165\u3002\u5f53\u7528\u6237\u6d4f\u89c8\u53d7\u5f71\u54cd\u7684\u7ad9\u70b9\u65f6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u7684\u6d4f\u89c8\u5668\u4e2d\u6267\u884c\u4efb\u610f\u811a\u672c\u4ee3\u7801\uff0c\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bc1\u4e66\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": "html5lib\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-00053\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "html5lib html5lib"
  },
  "referenceLink": "http://www.securityfocus.com/bid/95132",
  "serverity": "\u4e2d",
  "submitTime": "2016-12-30",
  "title": "html5lib\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-00053\uff09"
}



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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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