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CNVD-2021-95242

Vulnerability from cnvd - Published: 2021-12-08
VLAI
Title
Redash代码问题漏洞(CNVD-2021-95242)
Description
Redash是以色列Redash公司的一套数据整合分析解决方案。该产品支持数据整合、数据可视化、查询编辑和数据共享等。 Redash 10.0.0及之前版本存在代码问题漏洞,该漏洞源于程序在加载JSON、CSV或Excel等url数据源时容易受到服务器端请求伪造的的攻击。 目前没有详细漏洞细节提供。
Severity
Patch Name
Redash代码问题漏洞(CNVD-2021-95242)的补丁
Patch Description
Redash是以色列Redash公司的一套数据整合分析解决方案。该产品支持数据整合、数据可视化、查询编辑和数据共享等。 Redash 10.0.0及之前版本存在代码问题漏洞,该漏洞源于程序在加载JSON、CSV或Excel等url数据源时容易受到服务器端请求伪造的的攻击。 目前没有详细漏洞细节提供。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/getredash/redash/security/advisories/GHSA-fcpv-hgq6-87h7

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-43780
Impacted products
Name
Redash Redash <=10.0.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-43780"
    }
  },
  "description": "Redash\u662f\u4ee5\u8272\u5217Redash\u516c\u53f8\u7684\u4e00\u5957\u6570\u636e\u6574\u5408\u5206\u6790\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u4ea7\u54c1\u652f\u6301\u6570\u636e\u6574\u5408\u3001\u6570\u636e\u53ef\u89c6\u5316\u3001\u67e5\u8be2\u7f16\u8f91\u548c\u6570\u636e\u5171\u4eab\u7b49\u3002\n\nRedash 10.0.0\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5728\u52a0\u8f7dJSON\u3001CSV\u6216Excel\u7b49url\u6570\u636e\u6e90\u65f6\u5bb9\u6613\u53d7\u5230\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u7684\u7684\u653b\u51fb\u3002 \u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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/getredash/redash/security/advisories/GHSA-fcpv-hgq6-87h7",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-95242",
  "openTime": "2021-12-08",
  "patchDescription": "Redash\u662f\u4ee5\u8272\u5217Redash\u516c\u53f8\u7684\u4e00\u5957\u6570\u636e\u6574\u5408\u5206\u6790\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u4ea7\u54c1\u652f\u6301\u6570\u636e\u6574\u5408\u3001\u6570\u636e\u53ef\u89c6\u5316\u3001\u67e5\u8be2\u7f16\u8f91\u548c\u6570\u636e\u5171\u4eab\u7b49\u3002\r\n\r\nRedash 10.0.0\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5728\u52a0\u8f7dJSON\u3001CSV\u6216Excel\u7b49url\u6570\u636e\u6e90\u65f6\u5bb9\u6613\u53d7\u5230\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u7684\u7684\u653b\u51fb\u3002 \u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Redash\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2021-95242\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Redash Redash \u003c=10.0.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-43780",
  "serverity": "\u4e2d",
  "submitTime": "2021-11-25",
  "title": "Redash\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2021-95242\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.
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  • 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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