CNVD-2018-22382

Vulnerability from cnvd - Published: 2018-11-03
VLAI
Title
Apache Impala授权绕过漏洞
Description
Apache Impala是美国阿帕奇(Apache)软件基金会的一套大规模、分布式并行处理的数据库查询系统。该系统能够查询存储在Hadoop(大数据分析软件)中的HDFS(分布式文件系统)和HBase(数据库)中的PB级大数据。 Apache Impala 3.0.1之前版本中存在安全漏洞,该漏洞源于缺少身份验证检查。攻击者可利用该漏洞向运行中的查询注入随机数据,造成查询结果出错。
Severity
Patch Name
Apache Impala授权绕过漏洞的补丁
Patch Description
Apache Impala是美国阿帕奇(Apache)软件基金会的一套大规模、分布式并行处理的数据库查询系统。该系统能够查询存储在Hadoop(大数据分析软件)中的HDFS(分布式文件系统)和HBase(数据库)中的PB级大数据。 Apache Impala 3.0.1之前版本中存在安全漏洞,该漏洞源于缺少身份验证检查。攻击者可利用该漏洞向运行中的查询注入随机数据,造成查询结果出错。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://lists.apache.org/thread.html/cba8f18df15af862aa07c584d8dc85c44a199fb8f460edd498059247@%3Cdev.impala.apache.org%3E

Reference
https://lists.apache.org/thread.html/cba8f18df15af862aa07c584d8dc85c44a199fb8f460edd498059247@%3Cdev.impala.apache.org%3E
Impacted products
Name
Apache Impala <3.0.1
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "105742"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-11785"
    }
  },
  "description": "Apache Impala\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u5927\u89c4\u6a21\u3001\u5206\u5e03\u5f0f\u5e76\u884c\u5904\u7406\u7684\u6570\u636e\u5e93\u67e5\u8be2\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u80fd\u591f\u67e5\u8be2\u5b58\u50a8\u5728Hadoop\uff08\u5927\u6570\u636e\u5206\u6790\u8f6f\u4ef6\uff09\u4e2d\u7684HDFS\uff08\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf\uff09\u548cHBase\uff08\u6570\u636e\u5e93\uff09\u4e2d\u7684PB\u7ea7\u5927\u6570\u636e\u3002\r\n\r\nApache Impala 3.0.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u8eab\u4efd\u9a8c\u8bc1\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5411\u8fd0\u884c\u4e2d\u7684\u67e5\u8be2\u6ce8\u5165\u968f\u673a\u6570\u636e\uff0c\u9020\u6210\u67e5\u8be2\u7ed3\u679c\u51fa\u9519\u3002",
  "discovererName": "Jim Apple",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://lists.apache.org/thread.html/cba8f18df15af862aa07c584d8dc85c44a199fb8f460edd498059247@%3Cdev.impala.apache.org%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-22382",
  "openTime": "2018-11-03",
  "patchDescription": "Apache Impala\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u5927\u89c4\u6a21\u3001\u5206\u5e03\u5f0f\u5e76\u884c\u5904\u7406\u7684\u6570\u636e\u5e93\u67e5\u8be2\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u80fd\u591f\u67e5\u8be2\u5b58\u50a8\u5728Hadoop\uff08\u5927\u6570\u636e\u5206\u6790\u8f6f\u4ef6\uff09\u4e2d\u7684HDFS\uff08\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf\uff09\u548cHBase\uff08\u6570\u636e\u5e93\uff09\u4e2d\u7684PB\u7ea7\u5927\u6570\u636e\u3002\r\n\r\nApache Impala 3.0.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u8eab\u4efd\u9a8c\u8bc1\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5411\u8fd0\u884c\u4e2d\u7684\u67e5\u8be2\u6ce8\u5165\u968f\u673a\u6570\u636e\uff0c\u9020\u6210\u67e5\u8be2\u7ed3\u679c\u51fa\u9519\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 Impala\u6388\u6743\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Impala \u003c3.0.1"
  },
  "referenceLink": "https://lists.apache.org/thread.html/cba8f18df15af862aa07c584d8dc85c44a199fb8f460edd498059247@%3Cdev.impala.apache.org%3E",
  "serverity": "\u4e2d",
  "submitTime": "2018-10-26",
  "title": "Apache Impala\u6388\u6743\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

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

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