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CNVD-2025-13322

Vulnerability from cnvd - Published: 2025-06-24
VLAI
Title
Adobe Substance3D Sampler越界写入漏洞(CNVD-2025-13322)
Description
Adobe Substance 3D Sampler是Adobe公司推出的一款专业软件,旨在帮助用户轻松创建和迭代真实材质贴图。 Adobe Substance3D Sampler存在越界写入漏洞,攻击者可利用该漏洞在系统上执行代码,或导致应用程序崩溃。
Severity
Patch Name
Adobe Substance3D Sampler越界写入漏洞(CNVD-2025-13322)的补丁
Patch Description
Adobe Substance 3D Sampler是Adobe公司推出的一款专业软件,旨在帮助用户轻松创建和迭代真实材质贴图。 Adobe Substance3D Sampler存在越界写入漏洞,攻击者可利用该漏洞在系统上执行代码,或导致应用程序崩溃。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

用户可参考如下厂商提供的安全补丁以修复该漏洞: https://helpx.adobe.com/security/products/substance3d-sampler/apsb25-55.html

Reference
https://helpx.adobe.com/security/products/substance3d-sampler/apsb25-55.html
Impacted products
Name
Adobe Substance 3D Sampler <=5.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-43588",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-43588"
    }
  },
  "description": "Adobe Substance 3D Sampler\u662fAdobe\u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u4e13\u4e1a\u8f6f\u4ef6\uff0c\u65e8\u5728\u5e2e\u52a9\u7528\u6237\u8f7b\u677e\u521b\u5efa\u548c\u8fed\u4ee3\u771f\u5b9e\u6750\u8d28\u8d34\u56fe\u3002\n\nAdobe Substance3D Sampler\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4ee3\u7801\uff0c\u6216\u5bfc\u81f4\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://helpx.adobe.com/security/products/substance3d-sampler/apsb25-55.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-13322",
  "openTime": "2025-06-24",
  "patchDescription": "Adobe Substance 3D Sampler\u662fAdobe\u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u4e13\u4e1a\u8f6f\u4ef6\uff0c\u65e8\u5728\u5e2e\u52a9\u7528\u6237\u8f7b\u677e\u521b\u5efa\u548c\u8fed\u4ee3\u771f\u5b9e\u6750\u8d28\u8d34\u56fe\u3002\r\n\r\nAdobe Substance3D Sampler\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4ee3\u7801\uff0c\u6216\u5bfc\u81f4\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\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 Substance3D Sampler\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff08CNVD-2025-13322\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Adobe Substance 3D Sampler \u003c=5.0"
  },
  "referenceLink": "https://helpx.adobe.com/security/products/substance3d-sampler/apsb25-55.html",
  "serverity": "\u9ad8",
  "submitTime": "2025-06-17",
  "title": "Adobe Substance3D Sampler\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff08CNVD-2025-13322\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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