CNVD-2022-06545

Vulnerability from cnvd - Published: 2022-01-25
VLAI
Title
Jupyter Notebook重定向漏洞
Description
Jupyter Notebook是一款开源Web应用程序,可让您创建和共享包含实时代码、方程式、可视化和叙述文本的文档。 Jupyter Notebook 6.1.5之前版本存在重定向漏洞。攻击者可通过指向Notebook服务器的恶意链接利用该漏洞将浏览器重定向到其他网站。
Severity
Patch Name
Jupyter Notebook开放重定向漏洞的补丁
Patch Description
Jupyter Notebook是一款开源Web应用程序,可让您创建和共享包含实时代码、方程式、可视化和叙述文本的文档。 Jupyter Notebook 6.1.5之前版本存在开放重定向漏洞。攻击者可通过指向Notebook服务器的恶意链接利用该漏洞将浏览器重定向到其他网站。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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/jupyter/notebook/commit/3cec4bbe21756de9f0c4bccf18cf61d840314d74

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-26215
Impacted products
Name
IPython development team. Notebook <6.1.5
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-26215",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-26215"
    }
  },
  "description": "Jupyter Notebook\u662f\u4e00\u6b3e\u5f00\u6e90Web\u5e94\u7528\u7a0b\u5e8f\uff0c\u53ef\u8ba9\u60a8\u521b\u5efa\u548c\u5171\u4eab\u5305\u542b\u5b9e\u65f6\u4ee3\u7801\u3001\u65b9\u7a0b\u5f0f\u3001\u53ef\u89c6\u5316\u548c\u53d9\u8ff0\u6587\u672c\u7684\u6587\u6863\u3002\n\nJupyter Notebook 6.1.5\u4e4b\u524d\u7248\u672c\u5b58\u5728\u91cd\u5b9a\u5411\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u6307\u5411Notebook\u670d\u52a1\u5668\u7684\u6076\u610f\u94fe\u63a5\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u6d4f\u89c8\u5668\u91cd\u5b9a\u5411\u5230\u5176\u4ed6\u7f51\u7ad9\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/jupyter/notebook/commit/3cec4bbe21756de9f0c4bccf18cf61d840314d74",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-06545",
  "openTime": "2022-01-25",
  "patchDescription": "Jupyter Notebook\u662f\u4e00\u6b3e\u5f00\u6e90Web\u5e94\u7528\u7a0b\u5e8f\uff0c\u53ef\u8ba9\u60a8\u521b\u5efa\u548c\u5171\u4eab\u5305\u542b\u5b9e\u65f6\u4ee3\u7801\u3001\u65b9\u7a0b\u5f0f\u3001\u53ef\u89c6\u5316\u548c\u53d9\u8ff0\u6587\u672c\u7684\u6587\u6863\u3002\r\n\r\nJupyter Notebook 6.1.5\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5f00\u653e\u91cd\u5b9a\u5411\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u6307\u5411Notebook\u670d\u52a1\u5668\u7684\u6076\u610f\u94fe\u63a5\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u6d4f\u89c8\u5668\u91cd\u5b9a\u5411\u5230\u5176\u4ed6\u7f51\u7ad9\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": "Jupyter Notebook\u5f00\u653e\u91cd\u5b9a\u5411\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IPython development team.  Notebook \u003c6.1.5"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-26215",
  "serverity": "\u4e2d",
  "submitTime": "2020-11-19",
  "title": "Jupyter Notebook\u91cd\u5b9a\u5411\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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