CNVD-2017-37858

Vulnerability from cnvd - Published: 2017-12-22
VLAI
Title
IBM Security Guardium Database Activity Monitor SQL注入漏洞
Description
IBM Security Guardium Database Activity Monitor是美国IBM公司的一款数据库活动监控器产品。该产品提供合规性自动化控制和防止内外部威胁等功能。 IBM Security Guardium Database Activity Monitor中存在SQL注入漏洞。远程攻击者可通过发送特制的SQL语句利用该漏洞查看、添加、更改或删除后端数据库中的信息。
Severity
Patch Name
IBM Security Guardium Database Activity Monitor SQL注入漏洞的补丁
Patch Description
IBM Security Guardium Database Activity Monitor是美国IBM公司的一款数据库活动监控器产品。该产品提供合规性自动化控制和防止内外部威胁等功能。 IBM Security Guardium Database Activity Monitor中存在SQL注入漏洞。远程攻击者可通过发送特制的SQL语句利用该漏洞查看、添加、更改或删除后端数据库中的信息。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: http://www-01.ibm.com/support/docview.wss?uid=swg22011554

Reference
http://www-01.ibm.com/support/docview.wss?uid=swg22011554
Impacted products
Name
['IBM Security Guardium Database Activity Monitor 10.0', 'IBM Security Guardium Database Activity Monitor 10.0.1', 'IBM Security Guardium Database Activity Monitor 10.1', 'IBM Security Guardium Database Activity Monitor 10.1.2', 'IBM Security Guardium Database Activity Monitor 10.1.3']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1757"
    }
  },
  "description": "IBM Security Guardium Database Activity Monitor\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u6570\u636e\u5e93\u6d3b\u52a8\u76d1\u63a7\u5668\u4ea7\u54c1\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9b\u5408\u89c4\u6027\u81ea\u52a8\u5316\u63a7\u5236\u548c\u9632\u6b62\u5185\u5916\u90e8\u5a01\u80c1\u7b49\u529f\u80fd\u3002\r\n\r\nIBM Security Guardium Database Activity Monitor\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u53d1\u9001\u7279\u5236\u7684SQL\u8bed\u53e5\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u3001\u6dfb\u52a0\u3001\u66f4\u6539\u6216\u5220\u9664\u540e\u7aef\u6570\u636e\u5e93\u4e2d\u7684\u4fe1\u606f\u3002",
  "discovererName": "IBM",
  "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\nhttp://www-01.ibm.com/support/docview.wss?uid=swg22011554",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-37858",
  "openTime": "2017-12-22",
  "patchDescription": "IBM Security Guardium Database Activity Monitor\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u6570\u636e\u5e93\u6d3b\u52a8\u76d1\u63a7\u5668\u4ea7\u54c1\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9b\u5408\u89c4\u6027\u81ea\u52a8\u5316\u63a7\u5236\u548c\u9632\u6b62\u5185\u5916\u90e8\u5a01\u80c1\u7b49\u529f\u80fd\u3002\r\n\r\nIBM Security Guardium Database Activity Monitor\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u53d1\u9001\u7279\u5236\u7684SQL\u8bed\u53e5\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u3001\u6dfb\u52a0\u3001\u66f4\u6539\u6216\u5220\u9664\u540e\u7aef\u6570\u636e\u5e93\u4e2d\u7684\u4fe1\u606f\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": "IBM Security Guardium Database Activity Monitor SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Security Guardium Database Activity Monitor 10.0",
      "IBM Security Guardium Database Activity Monitor 10.0.1",
      "IBM Security Guardium Database Activity Monitor 10.1",
      "IBM Security Guardium Database Activity Monitor 10.1.2",
      "IBM Security Guardium Database Activity Monitor 10.1.3"
    ]
  },
  "referenceLink": "http://www-01.ibm.com/support/docview.wss?uid=swg22011554",
  "serverity": "\u9ad8",
  "submitTime": "2017-12-22",
  "title": "IBM Security Guardium Database Activity Monitor SQL\u6ce8\u5165\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.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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