CNVD-2021-67537

Vulnerability from cnvd - Published: 2021-09-02
VLAI
Title
Siemens SmartVNC堆分配泄露漏洞
Description
Siemens SmartVNC是德国西门子(Siemens)公司的一个工控设备。提供一个访问HMI中的smartserver功能。 Siemens SmartVNC在客户端设备布局处理程序中存在堆分配泄露漏洞,攻击者可利用漏洞导致拒绝服务情况。
Severity
中
Patch Name
Siemens SmartVNC堆分配泄露漏洞的补丁
Patch Description
Siemens SmartVNC是德国西门子(Siemens)公司的一个工控设备。提供一个访问HMI中的smartserver功能。 Siemens SmartVNC在客户端设备布局处理程序中存在堆分配泄露漏洞,攻击者可利用漏洞导致拒绝服务情况。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

厂商已发布了漏洞修复程序,请及时关注更新: https://cert-portal.siemens.com/productcert/pdf/ssa-538778.pdf

Reference
https://cert-portal.siemens.com/productcert/pdf/ssa-286838.pdf
Impacted products
Name
['Siemens SINAMICS SL150', 'Siemens SINAMICS SM150', 'Siemens SINAMICS SM150i', 'Siemens SINAMICS GH150', 'Siemens SINAMICS GL150 (with option X30)', 'Siemens SINAMICS GM150 (with option X30)', 'Siemens SINAMICS SH150', 'Siemens SINAMICS SM120']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-27386",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-27386"
    }
  },
  "description": "Siemens SmartVNC\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5de5\u63a7\u8bbe\u5907\u3002\u63d0\u4f9b\u4e00\u4e2a\u8bbf\u95eeHMI\u4e2d\u7684smartserver\u529f\u80fd\u3002\n\nSiemens SmartVNC\u5728\u5ba2\u6237\u7aef\u8bbe\u5907\u5e03\u5c40\u5904\u7406\u7a0b\u5e8f\u4e2d\u5b58\u5728\u5806\u5206\u914d\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u60c5\u51b5\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://cert-portal.siemens.com/productcert/pdf/ssa-538778.pdf",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-67537",
  "openTime": "2021-09-02",
  "patchDescription": "Siemens SmartVNC\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5de5\u63a7\u8bbe\u5907\u3002\u63d0\u4f9b\u4e00\u4e2a\u8bbf\u95eeHMI\u4e2d\u7684smartserver\u529f\u80fd\u3002\r\n\r\nSiemens SmartVNC\u5728\u5ba2\u6237\u7aef\u8bbe\u5907\u5e03\u5c40\u5904\u7406\u7a0b\u5e8f\u4e2d\u5b58\u5728\u5806\u5206\u914d\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u60c5\u51b5\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 SmartVNC\u5806\u5206\u914d\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Siemens SINAMICS SL150",
      "Siemens SINAMICS SM150",
      "Siemens SINAMICS SM150i",
      "Siemens SINAMICS GH150",
      "Siemens SINAMICS GL150 (with option X30)",
      "Siemens SINAMICS GM150 (with option X30)",
      "Siemens SINAMICS SH150",
      "Siemens SINAMICS SM120"
    ]
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/pdf/ssa-286838.pdf",
  "serverity": "\u4e2d",
  "submitTime": "2021-05-12",
  "title": "Siemens SmartVNC\u5806\u5206\u914d\u6cc4\u9732\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.
  • 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.
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  • 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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