CNVD-2022-87922

Vulnerability from cnvd - Published: 2022-12-15
VLAI
Title
Adobe Dimension内存泄露漏洞
Description
Adobe Dimension是美国奥多比(Adobe)公司的是一套2D和3D合成设计工具。 Adobe Dimension 3.4.6之前版本存在内存泄露漏洞,该漏洞源于受到越界读取漏洞的影响,可能导致敏感内存泄露,攻击者可利用漏洞绕过ASLR等安全策略。
Severity
Patch Name
Adobe Dimension内存泄露漏洞的补丁
Patch Description
Adobe Dimension是美国奥多比(Adobe)公司的是一套2D和3D合成设计工具。 Adobe Dimension 3.4.6之前版本存在内存泄露漏洞,该漏洞源于受到越界读取漏洞的影响,可能导致敏感内存泄露,攻击者可利用漏洞绕过ASLR等安全策略。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补丁以修复漏洞,补丁获取链接:https://helpx.adobe.com/security/products/dimension/apsb22-57.html

Reference
https://www.auscert.org.au/bulletins/ESB-2022.5072
Impacted products
Name
Adobe Adobe Dimension <3.4.6
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-38443",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-38443"
    }
  },
  "description": "Adobe Dimension\u662f\u7f8e\u56fd\u5965\u591a\u6bd4\uff08Adobe\uff09\u516c\u53f8\u7684\u662f\u4e00\u59572D\u548c3D\u5408\u6210\u8bbe\u8ba1\u5de5\u5177\u3002\n\nAdobe Dimension 3.4.6\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53d7\u5230\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u7684\u5f71\u54cd\uff0c\u53ef\u80fd\u5bfc\u81f4\u654f\u611f\u5185\u5b58\u6cc4\u9732\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u7ed5\u8fc7ASLR\u7b49\u5b89\u5168\u7b56\u7565\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1ahttps://helpx.adobe.com/security/products/dimension/apsb22-57.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-87922",
  "openTime": "2022-12-15",
  "patchDescription": "Adobe Dimension\u662f\u7f8e\u56fd\u5965\u591a\u6bd4\uff08Adobe\uff09\u516c\u53f8\u7684\u662f\u4e00\u59572D\u548c3D\u5408\u6210\u8bbe\u8ba1\u5de5\u5177\u3002\r\n\r\nAdobe Dimension 3.4.6\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53d7\u5230\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u7684\u5f71\u54cd\uff0c\u53ef\u80fd\u5bfc\u81f4\u654f\u611f\u5185\u5b58\u6cc4\u9732\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u7ed5\u8fc7ASLR\u7b49\u5b89\u5168\u7b56\u7565\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 Dimension\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Adobe Adobe Dimension \u003c3.4.6"
  },
  "referenceLink": "https://www.auscert.org.au/bulletins/ESB-2022.5072",
  "serverity": "\u4e2d",
  "submitTime": "2022-10-14",
  "title": "Adobe Dimension\u5185\u5b58\u6cc4\u9732\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

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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Detection rules are retrieved from Rulezet.

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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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