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CNVD-2021-54361

Vulnerability from cnvd - Published: 2021-07-24
VLAI
Title
多款Siemens产品输入验证错误漏洞(CNVD-2021-54361)
Description
Siemens SIMATIC IT LMS是一套总体设备效能(OEE)的线路监控系统。SIMATIC IT Production Suite是一套工厂生产管理套件。 多款Siemens产品中存在输入验证错误漏洞。攻击者可借助特制数据包利用该漏洞导致拒绝服务。
Severity
Patch Name
多款Siemens产品输入验证错误漏洞(CNVD-2021-54361)的补丁
Patch Description
Siemens SIMATIC IT LMS是一套总体设备效能(OEE)的线路监控系统。SIMATIC IT Production Suite是一套工厂生产管理套件。 多款Siemens产品中存在输入验证错误漏洞。攻击者可借助特制数据包利用该漏洞导致拒绝服务。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-841348.pdf

Reference
https://cert-portal.siemens.com/productcert/pdf/ssa-841348.pdf
Impacted products
Name
['Siemens SIMATIC IT LMS < V2.6', 'SIEMENS SIMATIC IT Production Suite < V8.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-7588"
    }
  },
  "description": "Siemens SIMATIC IT LMS\u662f\u4e00\u5957\u603b\u4f53\u8bbe\u5907\u6548\u80fd\uff08OEE\uff09\u7684\u7ebf\u8def\u76d1\u63a7\u7cfb\u7edf\u3002SIMATIC IT Production Suite\u662f\u4e00\u5957\u5de5\u5382\u751f\u4ea7\u7ba1\u7406\u5957\u4ef6\u3002\n\n\u591a\u6b3eSiemens\u4ea7\u54c1\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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-841348.pdf",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-54361",
  "openTime": "2021-07-24",
  "patchDescription": "Siemens SIMATIC IT LMS\u662f\u4e00\u5957\u603b\u4f53\u8bbe\u5907\u6548\u80fd\uff08OEE\uff09\u7684\u7ebf\u8def\u76d1\u63a7\u7cfb\u7edf\u3002SIMATIC IT Production Suite\u662f\u4e00\u5957\u5de5\u5382\u751f\u4ea7\u7ba1\u7406\u5957\u4ef6\u3002\r\n\r\n\u591a\u6b3eSiemens\u4ea7\u54c1\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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": "\u591a\u6b3eSiemens\u4ea7\u54c1\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2021-54361\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Siemens SIMATIC IT LMS \u003c V2.6",
      "SIEMENS SIMATIC IT Production Suite \u003c V8.0"
    ]
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/pdf/ssa-841348.pdf",
  "serverity": "\u4e2d",
  "submitTime": "2020-08-12",
  "title": "\u591a\u6b3eSiemens\u4ea7\u54c1\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2021-54361\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

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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.
  • 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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