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CNVD-2021-27798

Vulnerability from cnvd - Published: 2021-04-10
VLAI
Title
Vmware Carbon Black Cloud身份验证绕过漏洞
Description
Vmware Carbon Black Cloud是美国Vmware公司的一款为云端点提供安全检查防御功能的Sass平台。 VMware Carbon Black Cloud Workload 1.0.1及之前版本具有身份验证绕过漏洞,该漏洞可能允许具有VMware Carbon Black Cloud Workload appliance管理接口网络访问权限的用户获得有效的身份验证令牌。攻击者可利用该漏洞能够查看和更改管理配置设置。
Severity
Patch Name
Vmware Carbon Black Cloud身份验证绕过漏洞的补丁
Patch Description
Vmware Carbon Black Cloud是美国Vmware公司的一款为云端点提供安全检查防御功能的Sass平台。 VMware Carbon Black Cloud Workload 1.0.1及之前版本具有身份验证绕过漏洞,该漏洞可能允许具有VMware Carbon Black Cloud Workload appliance管理接口网络访问权限的用户获得有效的身份验证令牌。攻击者可利用该漏洞能够查看和更改管理配置设置。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://www.vmware.com/security/advisories/VMSA-2021-0005.html

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-21982
Impacted products
Name
VMware carbon black cloud workload <=1.0.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-21982",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-21982"
    }
  },
  "description": "Vmware Carbon Black Cloud\u662f\u7f8e\u56fdVmware\u516c\u53f8\u7684\u4e00\u6b3e\u4e3a\u4e91\u7aef\u70b9\u63d0\u4f9b\u5b89\u5168\u68c0\u67e5\u9632\u5fa1\u529f\u80fd\u7684Sass\u5e73\u53f0\u3002\n\nVMware Carbon Black Cloud Workload 1.0.1\u53ca\u4e4b\u524d\u7248\u672c\u5177\u6709\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u53ef\u80fd\u5141\u8bb8\u5177\u6709VMware Carbon Black Cloud Workload appliance\u7ba1\u7406\u63a5\u53e3\u7f51\u7edc\u8bbf\u95ee\u6743\u9650\u7684\u7528\u6237\u83b7\u5f97\u6709\u6548\u7684\u8eab\u4efd\u9a8c\u8bc1\u4ee4\u724c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u80fd\u591f\u67e5\u770b\u548c\u66f4\u6539\u7ba1\u7406\u914d\u7f6e\u8bbe\u7f6e\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://www.vmware.com/security/advisories/VMSA-2021-0005.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-27798",
  "openTime": "2021-04-10",
  "patchDescription": "Vmware Carbon Black Cloud\u662f\u7f8e\u56fdVmware\u516c\u53f8\u7684\u4e00\u6b3e\u4e3a\u4e91\u7aef\u70b9\u63d0\u4f9b\u5b89\u5168\u68c0\u67e5\u9632\u5fa1\u529f\u80fd\u7684Sass\u5e73\u53f0\u3002\r\n\r\nVMware Carbon Black Cloud Workload 1.0.1\u53ca\u4e4b\u524d\u7248\u672c\u5177\u6709\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u53ef\u80fd\u5141\u8bb8\u5177\u6709VMware Carbon Black Cloud Workload appliance\u7ba1\u7406\u63a5\u53e3\u7f51\u7edc\u8bbf\u95ee\u6743\u9650\u7684\u7528\u6237\u83b7\u5f97\u6709\u6548\u7684\u8eab\u4efd\u9a8c\u8bc1\u4ee4\u724c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u80fd\u591f\u67e5\u770b\u548c\u66f4\u6539\u7ba1\u7406\u914d\u7f6e\u8bbe\u7f6e\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": "Vmware Carbon Black Cloud\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "VMware carbon black cloud workload \u003c=1.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-21982",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-02",
  "title": "Vmware Carbon Black Cloud\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\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.
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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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