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CNVD-2026-07118

Vulnerability from cnvd - Published: 2026-01-23
VLAI
Title
IBM Engineering Systems Design Rhapsody堆栈缓冲区溢出漏洞
Description
IBM Engineering Systems Design Rhapsody是一款由IBM提供的、面向系统工程和软件开发的‌模型驱动开发(MDD)环境。 IBM Engineering Systems Design Rhapsody存在堆栈缓冲区溢出漏洞,该漏洞源于程序未对边界进行正确检查。攻击者可利用该漏洞导致缓冲区溢出并在系统上执行任意代码。
Severity
Patch Name
IBM Engineering Systems Design Rhapsody堆栈缓冲区溢出漏洞的补丁
Patch Description
IBM Engineering Systems Design Rhapsody是一款由IBM提供的、面向系统工程和软件开发的‌模型驱动开发(MDD)环境。 IBM Engineering Systems Design Rhapsody存在堆栈缓冲区溢出漏洞,该漏洞源于程序未对边界进行正确检查。攻击者可利用该漏洞导致缓冲区溢出并在系统上执行任意代码。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

目前厂商已发布升级程序修复该安全问题,详情见厂商官网: https://www.ibm.com/support/pages/node/7240375

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-33077
Impacted products
Name
['IBM Engineering Systems Design Rhapsody 9.0.2', 'IBM Engineering Systems Design Rhapsody 10.0', 'IBM Engineering Systems Design Rhapsody 10.0.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-33077",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-33077"
    }
  },
  "description": "IBM Engineering Systems Design Rhapsody\u662f\u4e00\u6b3e\u7531IBM\u63d0\u4f9b\u7684\u3001\u9762\u5411\u7cfb\u7edf\u5de5\u7a0b\u548c\u8f6f\u4ef6\u5f00\u53d1\u7684\u200c\u6a21\u578b\u9a71\u52a8\u5f00\u53d1\uff08MDD\uff09\u73af\u5883\u3002\n\nIBM Engineering Systems Design Rhapsody\u5b58\u5728\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u5bf9\u8fb9\u754c\u8fdb\u884c\u6b63\u786e\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7f13\u51b2\u533a\u6ea2\u51fa\u5e76\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51:\r\nhttps://www.ibm.com/support/pages/node/7240375",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-07118",
  "openTime": "2026-01-23",
  "patchDescription": "IBM Engineering Systems Design Rhapsody\u662f\u4e00\u6b3e\u7531IBM\u63d0\u4f9b\u7684\u3001\u9762\u5411\u7cfb\u7edf\u5de5\u7a0b\u548c\u8f6f\u4ef6\u5f00\u53d1\u7684\u200c\u6a21\u578b\u9a71\u52a8\u5f00\u53d1\uff08MDD\uff09\u73af\u5883\u3002\r\n\r\nIBM Engineering Systems Design Rhapsody\u5b58\u5728\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u5bf9\u8fb9\u754c\u8fdb\u884c\u6b63\u786e\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7f13\u51b2\u533a\u6ea2\u51fa\u5e76\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\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": "IBM Engineering Systems Design Rhapsody\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Engineering Systems Design Rhapsody 9.0.2",
      "IBM Engineering Systems Design Rhapsody 10.0",
      "IBM Engineering Systems Design Rhapsody 10.0.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-33077",
  "serverity": "\u9ad8",
  "submitTime": "2025-07-24",
  "title": "IBM Engineering Systems Design Rhapsody\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\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.
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  • 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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