CNVD-2021-89547

Vulnerability from cnvd - Published: 2021-11-22
VLAI
Title
Apache Druid LoadData存在任意文件读取漏洞
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,该漏洞源于在 Druid ingestion system 中,InputSource用于从某个数据源读取数据。但是,HTTP InputSource 允许经过身份验证的用户以 Druid 服务器进程的权限从其他来源读取数据,例如本地文件系统。 这不是用户直接访问 Druid 时的权限提升,因为 Druid 还提供了Local InputSource,它允许相同级别的访问。 但是当用户通过允许用户指定 HTTP InputSource 而不是 Local InputSource 的应用程序间接与 Druid 交互时,这是有问题的。 在这种情况下,用户可以通过将文件 URL 传递给 HTTP InputSource 来绕过应用程序级别的限制。目前没有详细的漏洞细节提供。
Severity
中
Patch Name
Apache Druid LoadData存在任意文件读取漏洞的补丁
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,该漏洞源于在 Druid ingestion system 中,InputSource用于从某个数据源读取数据。但是,HTTP InputSource 允许经过身份验证的用户以 Druid 服务器进程的权限从其他来源读取数据,例如本地文件系统。 这不是用户直接访问 Druid 时的权限提升,因为 Druid 还提供了Local InputSource,它允许相同级别的访问。 但是当用户通过允许用户指定 HTTP InputSource 而不是 Local InputSource 的应用程序间接与 Druid 交互时,这是有问题的。 在这种情况下,用户可以通过将文件 URL 传递给 HTTP InputSource 来绕过应用程序级别的限制。目前没有详细的漏洞细节提供。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://lists.apache.org/thread.html/rc9400a70d0ec5cdb8a3486fc5ddb0b5282961c0b63e764abfbcb9f5d%40%3Cdev.druid.apache.org%3E

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-36749
Impacted products
Name
Apache Druid <0.22.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-36749"
    }
  },
  "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\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728 Druid ingestion system \u4e2d\uff0cInputSource\u7528\u4e8e\u4ece\u67d0\u4e2a\u6570\u636e\u6e90\u8bfb\u53d6\u6570\u636e\u3002\u4f46\u662f\uff0cHTTP InputSource \u5141\u8bb8\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u4ee5 Druid \u670d\u52a1\u5668\u8fdb\u7a0b\u7684\u6743\u9650\u4ece\u5176\u4ed6\u6765\u6e90\u8bfb\u53d6\u6570\u636e\uff0c\u4f8b\u5982\u672c\u5730\u6587\u4ef6\u7cfb\u7edf\u3002 \u8fd9\u4e0d\u662f\u7528\u6237\u76f4\u63a5\u8bbf\u95ee Druid \u65f6\u7684\u6743\u9650\u63d0\u5347\uff0c\u56e0\u4e3a Druid \u8fd8\u63d0\u4f9b\u4e86Local InputSource\uff0c\u5b83\u5141\u8bb8\u76f8\u540c\u7ea7\u522b\u7684\u8bbf\u95ee\u3002 \u4f46\u662f\u5f53\u7528\u6237\u901a\u8fc7\u5141\u8bb8\u7528\u6237\u6307\u5b9a HTTP InputSource \u800c\u4e0d\u662f Local InputSource \u7684\u5e94\u7528\u7a0b\u5e8f\u95f4\u63a5\u4e0e Druid \u4ea4\u4e92\u65f6\uff0c\u8fd9\u662f\u6709\u95ee\u9898\u7684\u3002 \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u5c06\u6587\u4ef6 URL \u4f20\u9012\u7ed9 HTTP InputSource \u6765\u7ed5\u8fc7\u5e94\u7528\u7a0b\u5e8f\u7ea7\u522b\u7684\u9650\u5236\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "discovererName": "daozhang123",
  "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://lists.apache.org/thread.html/rc9400a70d0ec5cdb8a3486fc5ddb0b5282961c0b63e764abfbcb9f5d%40%3Cdev.druid.apache.org%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-89547",
  "openTime": "2021-11-22",
  "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\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728 Druid ingestion system \u4e2d\uff0cInputSource\u7528\u4e8e\u4ece\u67d0\u4e2a\u6570\u636e\u6e90\u8bfb\u53d6\u6570\u636e\u3002\u4f46\u662f\uff0cHTTP InputSource \u5141\u8bb8\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u4ee5 Druid \u670d\u52a1\u5668\u8fdb\u7a0b\u7684\u6743\u9650\u4ece\u5176\u4ed6\u6765\u6e90\u8bfb\u53d6\u6570\u636e\uff0c\u4f8b\u5982\u672c\u5730\u6587\u4ef6\u7cfb\u7edf\u3002 \u8fd9\u4e0d\u662f\u7528\u6237\u76f4\u63a5\u8bbf\u95ee Druid \u65f6\u7684\u6743\u9650\u63d0\u5347\uff0c\u56e0\u4e3a Druid \u8fd8\u63d0\u4f9b\u4e86Local InputSource\uff0c\u5b83\u5141\u8bb8\u76f8\u540c\u7ea7\u522b\u7684\u8bbf\u95ee\u3002 \u4f46\u662f\u5f53\u7528\u6237\u901a\u8fc7\u5141\u8bb8\u7528\u6237\u6307\u5b9a HTTP InputSource \u800c\u4e0d\u662f Local InputSource \u7684\u5e94\u7528\u7a0b\u5e8f\u95f4\u63a5\u4e0e Druid \u4ea4\u4e92\u65f6\uff0c\u8fd9\u662f\u6709\u95ee\u9898\u7684\u3002 \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u5c06\u6587\u4ef6 URL \u4f20\u9012\u7ed9 HTTP InputSource \u6765\u7ed5\u8fc7\u5e94\u7528\u7a0b\u5e8f\u7ea7\u522b\u7684\u9650\u5236\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\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": "Apache Druid LoadData\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Druid \u003c0.22.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-36749",
  "serverity": "\u4e2d",
  "submitTime": "2021-11-19",
  "title": "Apache Druid LoadData\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.