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CNVD-2022-17792

Vulnerability from cnvd - Published: 2022-03-09
VLAI
Title
Siemens SINEC NMS SQL注入漏洞(CNVD-2022-17792)
Description
Siemens SINEC NMS是德国西门子(Siemens)公司的 一个网络管理系统 (NMS),该系统可用于全天候集中监控、管理和配置具有数万台设备的工业网络,包括与安全相关的领域。 Siemens SINEC NMS存在SQL注入漏洞,允许经过身份验证的特权攻击者利用漏洞通过向受影响应用程序的Web服务器发送精心编制的请求,在本地数据库中执行任意命令。
Severity
Patch Name
Siemens SINEC NMS SQL注入漏洞(CNVD-2022-17792)的补丁
Patch Description
Siemens SINEC NMS是德国西门子(Siemens)公司的 一个网络管理系统 (NMS),该系统可用于全天候集中监控、管理和配置具有数万台设备的工业网络,包括与安全相关的领域。 Siemens SINEC NMS存在SQL注入漏洞,允许经过身份验证的特权攻击者利用漏洞通过向受影响应用程序的Web服务器发送精心编制的请求,在本地数据库中执行任意命令。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

用户可参考如下供应商提供的安全公告获得补丁信息: https://cert-portal.siemens.com/productcert/pdf/ssa-250085.pdf

Reference
https://cert-portal.siemens.com/productcert/pdf/ssa-250085.pdf
Impacted products
Name
Siemens SINEC NMS
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-24281"
    }
  },
  "description": "Siemens SINEC NMS\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684 \u4e00\u4e2a\u7f51\u7edc\u7ba1\u7406\u7cfb\u7edf (NMS)\uff0c\u8be5\u7cfb\u7edf\u53ef\u7528\u4e8e\u5168\u5929\u5019\u96c6\u4e2d\u76d1\u63a7\u3001\u7ba1\u7406\u548c\u914d\u7f6e\u5177\u6709\u6570\u4e07\u53f0\u8bbe\u5907\u7684\u5de5\u4e1a\u7f51\u7edc\uff0c\u5305\u62ec\u4e0e\u5b89\u5168\u76f8\u5173\u7684\u9886\u57df\u3002\n\nSiemens SINEC NMS\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u5141\u8bb8\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7279\u6743\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u5411\u53d7\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684Web\u670d\u52a1\u5668\u53d1\u9001\u7cbe\u5fc3\u7f16\u5236\u7684\u8bf7\u6c42\uff0c\u5728\u672c\u5730\u6570\u636e\u5e93\u4e2d\u6267\u884c\u4efb\u610f\u547d\u4ee4\u3002",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://cert-portal.siemens.com/productcert/pdf/ssa-250085.pdf",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-17792",
  "openTime": "2022-03-09",
  "patchDescription": "Siemens SINEC NMS\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684 \u4e00\u4e2a\u7f51\u7edc\u7ba1\u7406\u7cfb\u7edf (NMS)\uff0c\u8be5\u7cfb\u7edf\u53ef\u7528\u4e8e\u5168\u5929\u5019\u96c6\u4e2d\u76d1\u63a7\u3001\u7ba1\u7406\u548c\u914d\u7f6e\u5177\u6709\u6570\u4e07\u53f0\u8bbe\u5907\u7684\u5de5\u4e1a\u7f51\u7edc\uff0c\u5305\u62ec\u4e0e\u5b89\u5168\u76f8\u5173\u7684\u9886\u57df\u3002\r\n\r\nSiemens SINEC NMS\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u5141\u8bb8\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7279\u6743\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u5411\u53d7\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684Web\u670d\u52a1\u5668\u53d1\u9001\u7cbe\u5fc3\u7f16\u5236\u7684\u8bf7\u6c42\uff0c\u5728\u672c\u5730\u6570\u636e\u5e93\u4e2d\u6267\u884c\u4efb\u610f\u547d\u4ee4\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": "Siemens SINEC NMS SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2022-17792\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Siemens SINEC NMS"
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/pdf/ssa-250085.pdf",
  "serverity": "\u9ad8",
  "submitTime": "2022-03-09",
  "title": "Siemens SINEC NMS SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2022-17792\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

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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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