CNVD-2020-17015

Vulnerability from cnvd - Published: 2020-03-13
VLAI
Title
Siemens SiNVR 3 SQL注入漏洞
Description
SiNVR 3是一个视频管理平台。Central Control Server (CCS)是中央控制服务器,Video Server是视频服务器。 SiNVR 3默认情况下在基于XML的通讯协议中存在SQL注入漏洞,远程攻击者可利用此漏洞读取或者修改数据库,执行管理员数据库操作或者系统命令。
Severity
中
Patch Name
Siemens SiNVR 3 SQL注入漏洞的补丁
Patch Description
SiNVR 3是一个视频管理平台。Central Control Server (CCS)是中央控制服务器,Video Server是视频服务器。 SiNVR 3默认情况下在基于XML的通讯协议中存在SQL注入漏洞,远程攻击者可利用此漏洞读取或者修改数据库,执行管理员数据库操作或者系统命令。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

厂商已发布相关修复方案,请及时更新: https://nvd.nist.gov/vuln/detail/CVE-2019-19292

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-19292
Impacted products
Name
['Siemens SiNVR 3 Central Control Server (CCS)', 'Siemens SiNVR 3 Video Server']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-19292"
    }
  },
  "description": "SiNVR 3\u662f\u4e00\u4e2a\u89c6\u9891\u7ba1\u7406\u5e73\u53f0\u3002Central Control Server (CCS)\u662f\u4e2d\u592e\u63a7\u5236\u670d\u52a1\u5668\uff0cVideo Server\u662f\u89c6\u9891\u670d\u52a1\u5668\u3002\n\nSiNVR 3\u9ed8\u8ba4\u60c5\u51b5\u4e0b\u5728\u57fa\u4e8eXML\u7684\u901a\u8baf\u534f\u8bae\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u8bfb\u53d6\u6216\u8005\u4fee\u6539\u6570\u636e\u5e93\uff0c\u6267\u884c\u7ba1\u7406\u5458\u6570\u636e\u5e93\u64cd\u4f5c\u6216\u8005\u7cfb\u7edf\u547d\u4ee4\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u76f8\u5173\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u53ca\u65f6\u66f4\u65b0\uff1a\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-19292",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-17015",
  "openTime": "2020-03-13",
  "patchDescription": "SiNVR 3\u662f\u4e00\u4e2a\u89c6\u9891\u7ba1\u7406\u5e73\u53f0\u3002Central Control Server (CCS)\u662f\u4e2d\u592e\u63a7\u5236\u670d\u52a1\u5668\uff0cVideo Server\u662f\u89c6\u9891\u670d\u52a1\u5668\u3002\r\n\r\nSiNVR 3\u9ed8\u8ba4\u60c5\u51b5\u4e0b\u5728\u57fa\u4e8eXML\u7684\u901a\u8baf\u534f\u8bae\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u8bfb\u53d6\u6216\u8005\u4fee\u6539\u6570\u636e\u5e93\uff0c\u6267\u884c\u7ba1\u7406\u5458\u6570\u636e\u5e93\u64cd\u4f5c\u6216\u8005\u7cfb\u7edf\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 SiNVR 3 SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Siemens SiNVR 3 Central Control Server (CCS)",
      "Siemens SiNVR 3 Video Server"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-19292",
  "serverity": "\u4e2d",
  "submitTime": "2020-03-12",
  "title": "Siemens SiNVR 3 SQL\u6ce8\u5165\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…