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CNVD-2021-90864

Vulnerability from cnvd - Published: 2021-11-25
VLAI
Title
Advantech R-SeeNet SQL注入漏洞(CNVD-2021-90864)
Description
Advantech R-SeeNet是中国台湾研华(Advantech)公司的一个工业监控软件。该软件基于snmp协议进行监控平台,并且适用于Linux、Windows平台。 Advantech R-SeeNet存在SQL注入漏洞,远程攻击者可利用漏洞在数据库中执行任意SQL查询。
Severity
Patch Name
Advantech R-SeeNet SQL注入漏洞(CNVD-2021-90864)的补丁
Patch Description
Advantech R-SeeNet是中国台湾研华(Advantech)公司的一个工业监控软件。该软件基于snmp协议进行监控平台,并且适用于Linux、Windows平台。 Advantech R-SeeNet存在SQL注入漏洞,远程攻击者可利用漏洞在数据库中执行任意SQL查询。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://talosintelligence.com/vulnerability_reports/TALOS-2021-1363。

Reference
https://www.cybersecurity-help.cz/vdb/SB2021112314
Impacted products
Name
Advantech R-SeeNet 2.4.15
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-21915"
    }
  },
  "description": "Advantech R-SeeNet\u662f\u4e2d\u56fd\u53f0\u6e7e\u7814\u534e\uff08Advantech\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5de5\u4e1a\u76d1\u63a7\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u57fa\u4e8esnmp\u534f\u8bae\u8fdb\u884c\u76d1\u63a7\u5e73\u53f0\uff0c\u5e76\u4e14\u9002\u7528\u4e8eLinux\u3001Windows\u5e73\u53f0\u3002\n\nAdvantech R-SeeNet\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u6570\u636e\u5e93\u4e2d\u6267\u884c\u4efb\u610fSQL\u67e5\u8be2\u3002",
  "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://talosintelligence.com/vulnerability_reports/TALOS-2021-1363\u3002",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-90864",
  "openTime": "2021-11-25",
  "patchDescription": "Advantech R-SeeNet\u662f\u4e2d\u56fd\u53f0\u6e7e\u7814\u534e\uff08Advantech\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5de5\u4e1a\u76d1\u63a7\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u57fa\u4e8esnmp\u534f\u8bae\u8fdb\u884c\u76d1\u63a7\u5e73\u53f0\uff0c\u5e76\u4e14\u9002\u7528\u4e8eLinux\u3001Windows\u5e73\u53f0\u3002\r\n\r\nAdvantech R-SeeNet\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u6570\u636e\u5e93\u4e2d\u6267\u884c\u4efb\u610fSQL\u67e5\u8be2\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": "Advantech R-SeeNet SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2021-90864\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Advantech R-SeeNet 2.4.15"
  },
  "referenceLink": "https://www.cybersecurity-help.cz/vdb/SB2021112314",
  "serverity": "\u9ad8",
  "submitTime": "2021-11-24",
  "title": "Advantech R-SeeNet SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2021-90864\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.

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

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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