CNVD-2025-17525

Vulnerability from cnvd - Published: 2025-07-28
VLAI
Title
Adobe Substance 3D Viewer堆缓冲区溢出漏洞
Description
Adobe Substance 3D Viewer是Adobe推出的独立桌面应用,主要用于查看和编辑3D文件,并与Photoshop等应用无缝集成,支持非破坏性2D/3D协同创作。 Adobe Substance 3D Viewer存在堆缓冲区溢出漏洞,该漏洞源于堆内存部分被覆盖,攻击者可利用该漏洞提交特殊的文件请求,诱使用户解析,执行任意代码。
Severity
Patch Name
Adobe Substance 3D Viewer堆缓冲区溢出漏洞的补丁
Patch Description
Adobe Substance 3D Viewer是Adobe推出的独立桌面应用,主要用于查看和编辑3D文件,并与Photoshop等应用无缝集成,支持非破坏性2D/3D协同创作。 Adobe Substance 3D Viewer存在堆缓冲区溢出漏洞,该漏洞源于堆内存部分被覆盖,攻击者可利用该漏洞提交特殊的文件请求,诱使用户解析,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://helpx.adobe.com/security/products/substance3d-viewer/apsb25-54.html

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-43582
Impacted products
Name
Adobe Substance 3D Viewer <=0.22
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-43582",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-43582"
    }
  },
  "description": "Adobe Substance 3D Viewer\u662fAdobe\u63a8\u51fa\u7684\u72ec\u7acb\u684c\u9762\u5e94\u7528\uff0c\u4e3b\u8981\u7528\u4e8e\u67e5\u770b\u548c\u7f16\u8f913D\u6587\u4ef6\uff0c\u5e76\u4e0ePhotoshop\u7b49\u5e94\u7528\u65e0\u7f1d\u96c6\u6210\uff0c\u652f\u6301\u975e\u7834\u574f\u60272D/3D\u534f\u540c\u521b\u4f5c\u3002\n\nAdobe Substance 3D Viewer\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5806\u5185\u5b58\u90e8\u5206\u88ab\u8986\u76d6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u7684\u6587\u4ef6\u8bf7\u6c42\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\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\uff1a\r\nhttps://helpx.adobe.com/security/products/substance3d-viewer/apsb25-54.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-17525",
  "openTime": "2025-07-28",
  "patchDescription": "Adobe Substance 3D Viewer\u662fAdobe\u63a8\u51fa\u7684\u72ec\u7acb\u684c\u9762\u5e94\u7528\uff0c\u4e3b\u8981\u7528\u4e8e\u67e5\u770b\u548c\u7f16\u8f913D\u6587\u4ef6\uff0c\u5e76\u4e0ePhotoshop\u7b49\u5e94\u7528\u65e0\u7f1d\u96c6\u6210\uff0c\u652f\u6301\u975e\u7834\u574f\u60272D/3D\u534f\u540c\u521b\u4f5c\u3002\r\n\r\nAdobe Substance 3D Viewer\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5806\u5185\u5b58\u90e8\u5206\u88ab\u8986\u76d6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u7684\u6587\u4ef6\u8bf7\u6c42\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\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": "Adobe Substance 3D Viewer\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Adobe Substance 3D Viewer \u003c=0.22"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-43582",
  "serverity": "\u9ad8",
  "submitTime": "2025-07-15",
  "title": "Adobe Substance 3D Viewer\u5806\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.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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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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