CNVD-2024-47909

Vulnerability from cnvd - Published: 2024-12-12
VLAI
Title
Siemens Solid Edge V2024堆缓冲区溢出漏洞(CNVD-2024-47909)
Description
Solid Edge是一个软件工具组合,用于解决各种产品开发过程:3D设计、仿真、制造和设计管理。 Siemens Solid Edge V2024存在堆缓冲区溢出漏洞,攻击者可利用该漏洞在当前进程的上下文中执行代码。
Severity
Patch Name
Siemens Solid Edge V2024堆缓冲区溢出漏洞(CNVD-2024-47909)的补丁
Patch Description
Solid Edge是一个软件工具组合,用于解决各种产品开发过程:3D设计、仿真、制造和设计管理。 Siemens Solid Edge V2024存在堆缓冲区溢出漏洞,攻击者可利用该漏洞在当前进程的上下文中执行代码。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/html/ssa-730188.html

Reference
https://cert-portal.siemens.com/productcert/html/ssa-730188.html
Impacted products
Name
['Siemens Solid Edge SE2024 <V224.0 Update 5', 'Siemens Solid Edge SE2024 <V224.0 Update 10']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-54094"
    }
  },
  "description": "Solid Edge\u662f\u4e00\u4e2a\u8f6f\u4ef6\u5de5\u5177\u7ec4\u5408\uff0c\u7528\u4e8e\u89e3\u51b3\u5404\u79cd\u4ea7\u54c1\u5f00\u53d1\u8fc7\u7a0b\uff1a3D\u8bbe\u8ba1\u3001\u4eff\u771f\u3001\u5236\u9020\u548c\u8bbe\u8ba1\u7ba1\u7406\u3002\n\nSiemens Solid Edge V2024\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5f53\u524d\u8fdb\u7a0b\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4ee3\u7801\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/html/ssa-730188.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-47909",
  "openTime": "2024-12-12",
  "patchDescription": "Solid Edge\u662f\u4e00\u4e2a\u8f6f\u4ef6\u5de5\u5177\u7ec4\u5408\uff0c\u7528\u4e8e\u89e3\u51b3\u5404\u79cd\u4ea7\u54c1\u5f00\u53d1\u8fc7\u7a0b\uff1a3D\u8bbe\u8ba1\u3001\u4eff\u771f\u3001\u5236\u9020\u548c\u8bbe\u8ba1\u7ba1\u7406\u3002\r\n\r\nSiemens Solid Edge V2024\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5f53\u524d\u8fdb\u7a0b\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4ee3\u7801\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 Solid Edge V2024\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2024-47909\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Siemens Solid Edge SE2024 \u003cV224.0 Update 5",
      "Siemens Solid Edge SE2024 \u003cV224.0 Update 10"
    ]
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/html/ssa-730188.html",
  "serverity": "\u9ad8",
  "submitTime": "2024-12-11",
  "title": "Siemens Solid Edge V2024\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2024-47909\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

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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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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