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CNVD-2025-20483

Vulnerability from cnvd - Published: 2025-09-01
VLAI
Title
Adobe Media Encoder越界读取漏洞(CNVD-2025-20483)
Description
Adobe Media Encoder是Adobe公司开发的专业视频和音频编码应用程序,用于将媒体文件转换为多种行业标准格式,适用于不同设备和平台。 Adobe Media Encoder存在越界读取漏洞,攻击者可利用该漏洞导致敏感内存泄露。
Severity
Patch Name
Adobe Media Encoder越界读取漏洞(CNVD-2025-20483)的补丁
Patch Description
Adobe Media Encoder是Adobe公司开发的专业视频和音频编码应用程序,用于将媒体文件转换为多种行业标准格式,适用于不同设备和平台。 Adobe Media Encoder存在越界读取漏洞,攻击者可利用该漏洞导致敏感内存泄露。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/media-encoder/apsb21-118.html%E3%80%82

Reference
https://helpx.adobe.com/security/products/media-encoder/apsb21-118.html
Impacted products
Name
['Adobe Adobe Media Encoder 22.0', 'Adobe Adobe Media Encoder <=15.4.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-43760",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-43760"
    }
  },
  "description": "Adobe Media Encoder\u662fAdobe\u516c\u53f8\u5f00\u53d1\u7684\u4e13\u4e1a\u89c6\u9891\u548c\u97f3\u9891\u7f16\u7801\u5e94\u7528\u7a0b\u5e8f\uff0c\u7528\u4e8e\u5c06\u5a92\u4f53\u6587\u4ef6\u8f6c\u6362\u4e3a\u591a\u79cd\u884c\u4e1a\u6807\u51c6\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u8bbe\u5907\u548c\u5e73\u53f0\u3002\n\nAdobe Media Encoder\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u654f\u611f\u5185\u5b58\u6cc4\u9732\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/media-encoder/apsb21-118.html%E3%80%82",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-20483",
  "openTime": "2025-09-01",
  "patchDescription": "Adobe Media Encoder\u662fAdobe\u516c\u53f8\u5f00\u53d1\u7684\u4e13\u4e1a\u89c6\u9891\u548c\u97f3\u9891\u7f16\u7801\u5e94\u7528\u7a0b\u5e8f\uff0c\u7528\u4e8e\u5c06\u5a92\u4f53\u6587\u4ef6\u8f6c\u6362\u4e3a\u591a\u79cd\u884c\u4e1a\u6807\u51c6\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u8bbe\u5907\u548c\u5e73\u53f0\u3002\r\n\r\nAdobe Media Encoder\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u654f\u611f\u5185\u5b58\u6cc4\u9732\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 Media Encoder\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff08CNVD-2025-20483\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Adobe Adobe Media Encoder 22.0",
      "Adobe Adobe Media Encoder \u003c=15.4.2"
    ]
  },
  "referenceLink": "https://helpx.adobe.com/security/products/media-encoder/apsb21-118.html",
  "serverity": "\u4e2d",
  "submitTime": "2021-12-28",
  "title": "Adobe Media Encoder\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff08CNVD-2025-20483\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.
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  • 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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