CNVD-2021-49042

Vulnerability from cnvd - Published: 2021-07-10
VLAI
Title
Apache Druid权限许可和访问控制问题漏洞
Description
Apache Druid是美国阿帕奇(Apache)基金会的一款使用Java语言编写的、面向列的开源分布式数据库。 Apache Druid存在安全漏洞,攻击者可利用该漏洞使用Druid服务器进程的特权从其他源(如本地文件系统)读取数据。
Severity
中
Patch Name
Apache Druid权限许可和访问控制问题漏洞的补丁
Patch Description
Apache Druid是美国阿帕奇(Apache)基金会的一款使用Java语言编写的、面向列的开源分布式数据库。 Apache Druid存在安全漏洞,攻击者可利用该漏洞使用Druid服务器进程的特权从其他源(如本地文件系统)读取数据。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,详情请关注厂商主页: http://www.openwall.com/lists/oss-security/2021/07/02/1

Reference
https://lists.apache.org/thread.html/r29e45561343cc5cf7d3290ee0b0e94e565faab19c20d022df9b5e29c%40%3Cdev.druid.apache.org%3E
Impacted products
Name
Apache Druid <0.21.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-26920"
    }
  },
  "description": "Apache Druid\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u4f7f\u7528Java\u8bed\u8a00\u7f16\u5199\u7684\u3001\u9762\u5411\u5217\u7684\u5f00\u6e90\u5206\u5e03\u5f0f\u6570\u636e\u5e93\u3002\n\nApache Druid\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u7528Druid\u670d\u52a1\u5668\u8fdb\u7a0b\u7684\u7279\u6743\u4ece\u5176\u4ed6\u6e90(\u5982\u672c\u5730\u6587\u4ef6\u7cfb\u7edf)\u8bfb\u53d6\u6570\u636e\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttp://www.openwall.com/lists/oss-security/2021/07/02/1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-49042",
  "openTime": "2021-07-10",
  "patchDescription": "Apache Druid\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u4f7f\u7528Java\u8bed\u8a00\u7f16\u5199\u7684\u3001\u9762\u5411\u5217\u7684\u5f00\u6e90\u5206\u5e03\u5f0f\u6570\u636e\u5e93\u3002\r\n\r\nApache Druid\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u7528Druid\u670d\u52a1\u5668\u8fdb\u7a0b\u7684\u7279\u6743\u4ece\u5176\u4ed6\u6e90(\u5982\u672c\u5730\u6587\u4ef6\u7cfb\u7edf)\u8bfb\u53d6\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": "Apache Druid\u6743\u9650\u8bb8\u53ef\u548c\u8bbf\u95ee\u63a7\u5236\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Druid \u003c0.21.0"
  },
  "referenceLink": "https://lists.apache.org/thread.html/r29e45561343cc5cf7d3290ee0b0e94e565faab19c20d022df9b5e29c%40%3Cdev.druid.apache.org%3E",
  "serverity": "\u4e2d",
  "submitTime": "2021-07-06",
  "title": "Apache Druid\u6743\u9650\u8bb8\u53ef\u548c\u8bbf\u95ee\u63a7\u5236\u95ee\u9898\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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