CNVD-2021-102797

Vulnerability from cnvd - Published: 2021-12-27
VLAI
Title
Apache NiFi代码问题漏洞(CNVD-2021-102797)
Description
Apache NiFi是美国阿帕奇(Apache)基金会的一套数据处理和分发系统。该系统主要用于数据路由、转换和系统中介逻辑。 Apache NiFi 的 TransformXML存在代码问题漏洞,该漏洞源于在1.15.1之前的Apache NiFi的TransformXML处理器中,经过身份验证的用户可以配置XSLT文件,如果该文件包含恶意的外部实体调用,可能会暴露敏感信息。目前没有详细的漏洞细节提供。
Severity
Patch Name
Apache NiFi代码问题漏洞(CNVD-2021-102797)的补丁
Patch Description
Apache NiFi是美国阿帕奇(Apache)基金会的一套数据处理和分发系统。该系统主要用于数据路由、转换和系统中介逻辑。 Apache NiFi 的 TransformXML存在代码问题漏洞,该漏洞源于在1.15.1之前的Apache NiFi的TransformXML处理器中,经过身份验证的用户可以配置XSLT文件,如果该文件包含恶意的外部实体调用,可能会暴露敏感信息。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,详情请关注厂商主页: https://nifi.apache.org/security.html#1.15.1-vulnerabilities

Reference
https://www.cybersecurity-help.cz/vdb/SB2021121704
Impacted products
Name
Apache Nifi
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-44145"
    }
  },
  "description": "Apache NiFi\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u6570\u636e\u5904\u7406\u548c\u5206\u53d1\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u8def\u7531\u3001\u8f6c\u6362\u548c\u7cfb\u7edf\u4e2d\u4ecb\u903b\u8f91\u3002\n\nApache NiFi \u7684 TransformXML\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u57281.15.1\u4e4b\u524d\u7684Apache NiFi\u7684TransformXML\u5904\u7406\u5668\u4e2d\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u53ef\u4ee5\u914d\u7f6eXSLT\u6587\u4ef6\uff0c\u5982\u679c\u8be5\u6587\u4ef6\u5305\u542b\u6076\u610f\u7684\u5916\u90e8\u5b9e\u4f53\u8c03\u7528\uff0c\u53ef\u80fd\u4f1a\u66b4\u9732\u654f\u611f\u4fe1\u606f\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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\nhttps://nifi.apache.org/security.html#1.15.1-vulnerabilities",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-102797",
  "openTime": "2021-12-27",
  "patchDescription": "Apache NiFi\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u6570\u636e\u5904\u7406\u548c\u5206\u53d1\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u8def\u7531\u3001\u8f6c\u6362\u548c\u7cfb\u7edf\u4e2d\u4ecb\u903b\u8f91\u3002\r\n\r\nApache NiFi \u7684 TransformXML\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u57281.15.1\u4e4b\u524d\u7684Apache NiFi\u7684TransformXML\u5904\u7406\u5668\u4e2d\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u53ef\u4ee5\u914d\u7f6eXSLT\u6587\u4ef6\uff0c\u5982\u679c\u8be5\u6587\u4ef6\u5305\u542b\u6076\u610f\u7684\u5916\u90e8\u5b9e\u4f53\u8c03\u7528\uff0c\u53ef\u80fd\u4f1a\u66b4\u9732\u654f\u611f\u4fe1\u606f\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 NiFi\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2021-102797\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Nifi"
  },
  "referenceLink": "https://www.cybersecurity-help.cz/vdb/SB2021121704",
  "serverity": "\u4e2d",
  "submitTime": "2021-12-21",
  "title": "Apache NiFi\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2021-102797\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.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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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