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CNVD-2018-25424

Vulnerability from cnvd - Published: 2018-12-14
VLAI
Title
Siemens TIM 1531 IRC身份验证漏洞
Description
Siemens TIM 1531 IRC是德国西门子(Siemens)公司的一款通信模块。 Siemens TIM 1531 IRC 2.0之前版本中存在安全漏洞,该漏洞源于在102/tcp端口上进行连接时设备未能进行正确的身份验证。攻击者可利用该漏洞执行任意管理操作。
Severity
Patch Name
Siemens TIM 1531 IRC身份验证漏洞的补丁
Patch Description
Siemens TIM 1531 IRC是德国西门子(Siemens)公司的一款通信模块。 Siemens TIM 1531 IRC 2.0之前版本中存在安全漏洞,该漏洞源于在102/tcp端口上进行连接时设备未能进行正确的身份验证。攻击者可利用该漏洞执行任意管理操作。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://cert-portal.siemens.com/productcert/pdf/ssa-982399.pdf

Reference
https://cert-portal.siemens.com/productcert/pdf/ssa-982399.pdf
Impacted products
Name
Siemens TIM 1531 IRC <V2.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-13816"
    }
  },
  "description": "Siemens TIM 1531 IRC\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u901a\u4fe1\u6a21\u5757\u3002\n\nSiemens TIM 1531 IRC 2.0\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728102/tcp\u7aef\u53e3\u4e0a\u8fdb\u884c\u8fde\u63a5\u65f6\u8bbe\u5907\u672a\u80fd\u8fdb\u884c\u6b63\u786e\u7684\u8eab\u4efd\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7ba1\u7406\u64cd\u4f5c\u3002",
  "discovererName": "unknwon",
  "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://cert-portal.siemens.com/productcert/pdf/ssa-982399.pdf",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-25424",
  "openTime": "2018-12-14",
  "patchDescription": "Siemens TIM 1531 IRC\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u901a\u4fe1\u6a21\u5757\u3002\r\n\r\nSiemens TIM 1531 IRC 2.0\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728102/tcp\u7aef\u53e3\u4e0a\u8fdb\u884c\u8fde\u63a5\u65f6\u8bbe\u5907\u672a\u80fd\u8fdb\u884c\u6b63\u786e\u7684\u8eab\u4efd\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7ba1\u7406\u64cd\u4f5c\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 TIM 1531 IRC\u8eab\u4efd\u9a8c\u8bc1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Siemens TIM 1531 IRC \u003cV2.0"
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/pdf/ssa-982399.pdf",
  "serverity": "\u9ad8",
  "submitTime": "2018-12-14",
  "title": "Siemens TIM 1531 IRC\u8eab\u4efd\u9a8c\u8bc1\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

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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Detection rules are retrieved from Rulezet.

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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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