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CNVD-2022-87381

Vulnerability from cnvd - Published: 2022-12-14
VLAI
Title
Dapr Dashboard访问控制错误漏洞
Description
Dapr Dashboard是一款基于Web的Dapr用户界面,允许用户查看信息、查看运行Dapr应用程序、组件和配置的日志等。 Dapr Dashboard 0.1.0及其之后,0.10.0及其之前版本存在访问控制错误漏洞,该漏洞源于应用存在不正确访问控制,攻击者可利用漏洞获取敏感数据。
Severity
Patch Name
Dapr Dashboard访问控制错误漏洞的补丁
Patch Description
Dapr Dashboard是一款基于Web的Dapr用户界面,允许用户查看信息、查看运行Dapr应用程序、组件和配置的日志等。 Dapr Dashboard 0.1.0及其之后,0.10.0及其之前版本存在访问控制错误漏洞,该漏洞源于应用存在不正确访问控制,攻击者可利用漏洞获取敏感数据。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/dapr/dashboard/issues/222

Reference
https://github.com/dapr/dashboard/issues/222
Impacted products
Name
Dapr Dashboard >=0.1.0,<=0.10.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-38817",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-38817"
    }
  },
  "description": "Dapr Dashboard\u662f\u4e00\u6b3e\u57fa\u4e8eWeb\u7684Dapr\u7528\u6237\u754c\u9762\uff0c\u5141\u8bb8\u7528\u6237\u67e5\u770b\u4fe1\u606f\u3001\u67e5\u770b\u8fd0\u884cDapr\u5e94\u7528\u7a0b\u5e8f\u3001\u7ec4\u4ef6\u548c\u914d\u7f6e\u7684\u65e5\u5fd7\u7b49\u3002\n\nDapr Dashboard 0.1.0\u53ca\u5176\u4e4b\u540e\uff0c0.10.0\u53ca\u5176\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5b58\u5728\u4e0d\u6b63\u786e\u8bbf\u95ee\u63a7\u5236\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u6570\u636e\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/dapr/dashboard/issues/222",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-87381",
  "openTime": "2022-12-14",
  "patchDescription": "Dapr Dashboard\u662f\u4e00\u6b3e\u57fa\u4e8eWeb\u7684Dapr\u7528\u6237\u754c\u9762\uff0c\u5141\u8bb8\u7528\u6237\u67e5\u770b\u4fe1\u606f\u3001\u67e5\u770b\u8fd0\u884cDapr\u5e94\u7528\u7a0b\u5e8f\u3001\u7ec4\u4ef6\u548c\u914d\u7f6e\u7684\u65e5\u5fd7\u7b49\u3002\r\n\r\nDapr Dashboard 0.1.0\u53ca\u5176\u4e4b\u540e\uff0c0.10.0\u53ca\u5176\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5b58\u5728\u4e0d\u6b63\u786e\u8bbf\u95ee\u63a7\u5236\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u6570\u636e\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": "Dapr Dashboard\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Dapr Dashboard \u003e=0.1.0\uff0c\u003c=0.10.0"
  },
  "referenceLink": "https://github.com/dapr/dashboard/issues/222",
  "serverity": "\u9ad8",
  "submitTime": "2022-10-11",
  "title": "Dapr Dashboard\u8bbf\u95ee\u63a7\u5236\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

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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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Detection rules are retrieved from Rulezet.

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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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