CNVD-2026-24176

Vulnerability from cnvd - Published: 2026-06-17
VLAI
Title
Siemens SINEC INS路径遍历漏洞(CNVD-2026-24176)
Description
Siemens SINEC INS是德国西门子(Siemens)公司的一款为网络基础设施提供中央服务的软件。 Siemens SINEC INS存在路径遍历漏洞,该漏洞源于GET /api/sftp/uploadFiles端点未正确清理路径输入,攻击者可利用该漏洞访问未授权的文件系统位置。
Severity
中
Patch Name
Siemens SINEC INS路径遍历漏洞(CNVD-2026-24176)的补丁
Patch Description
Siemens SINEC INS是德国西门子(Siemens)公司的一款为网络基础设施提供中央服务的软件。 Siemens SINEC INS存在路径遍历漏洞,该漏洞源于GET /api/sftp/uploadFiles端点未正确清理路径输入,攻击者可利用该漏洞访问未授权的文件系统位置。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/html/ssa-860189.html

Reference
https://cert-portal.siemens.com/productcert/html/ssa-860189.html
Impacted products
Name
Siemens SINEC INS <V1.0 SP2 Update 6
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-46747",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-46747"
    }
  },
  "description": "Siemens SINEC INS\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e3a\u7f51\u7edc\u57fa\u7840\u8bbe\u65bd\u63d0\u4f9b\u4e2d\u592e\u670d\u52a1\u7684\u8f6f\u4ef6\u3002\n\nSiemens SINEC INS\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eGET /api/sftp/uploadFiles\u7aef\u70b9\u672a\u6b63\u786e\u6e05\u7406\u8def\u5f84\u8f93\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u672a\u6388\u6743\u7684\u6587\u4ef6\u7cfb\u7edf\u4f4d\u7f6e\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/html/ssa-860189.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-24176",
  "openTime": "2026-06-17",
  "patchDescription": "Siemens SINEC INS\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e3a\u7f51\u7edc\u57fa\u7840\u8bbe\u65bd\u63d0\u4f9b\u4e2d\u592e\u670d\u52a1\u7684\u8f6f\u4ef6\u3002\r\n\r\nSiemens SINEC INS\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eGET /api/sftp/uploadFiles\u7aef\u70b9\u672a\u6b63\u786e\u6e05\u7406\u8def\u5f84\u8f93\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u672a\u6388\u6743\u7684\u6587\u4ef6\u7cfb\u7edf\u4f4d\u7f6e\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 SINEC INS\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff08CNVD-2026-24176\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Siemens SINEC INS \u003cV1.0 SP2 Update 6"
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/html/ssa-860189.html",
  "serverity": "\u4e2d",
  "submitTime": "2026-06-11",
  "title": "Siemens SINEC INS\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff08CNVD-2026-24176\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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