CNVD-2022-78137
Vulnerability from cnvd - Published: 2022-11-15
VLAI
Title
FFmpeg存在未明漏洞(CNVD-2022-78137)
Description
FFmpeg是FFmpeg团队的一套可录制、转换以及流化音视频的完整解决方案。
FFmpeg存在安全漏洞,该漏洞源于QuickTime RPZA Video Encoder组件的文件ibavcodec/rpzaenc.c的未知功能,攻击者利用该漏洞可以通过操作参数y_size导致越界读取。
Severity
中
Patch Name
FFmpeg存在未明漏洞(CNVD-2022-78137)的补丁
Patch Description
FFmpeg是FFmpeg团队的一套可录制、转换以及流化音视频的完整解决方案。
FFmpeg存在安全漏洞,该漏洞源于QuickTime RPZA Video Encoder组件的文件ibavcodec/rpzaenc.c的未知功能,攻击者利用该漏洞可以通过操作参数y_size导致越界读取。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,详情请关注厂商主页: https://git.ffmpeg.org/gitweb/ffmpeg.git
Reference
https://nvd.nist.gov/vuln/detail/CVE-2022-3964
Impacted products
| Name | FFmpeg Ffmpeg |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2022-3964"
}
},
"description": "FFmpeg\u662fFFmpeg\u56e2\u961f\u7684\u4e00\u5957\u53ef\u5f55\u5236\u3001\u8f6c\u6362\u4ee5\u53ca\u6d41\u5316\u97f3\u89c6\u9891\u7684\u5b8c\u6574\u89e3\u51b3\u65b9\u6848\u3002\n\nFFmpeg\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eQuickTime RPZA Video Encoder\u7ec4\u4ef6\u7684\u6587\u4ef6ibavcodec/rpzaenc.c\u7684\u672a\u77e5\u529f\u80fd\uff0c\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u901a\u8fc7\u64cd\u4f5c\u53c2\u6570y_size\u5bfc\u81f4\u8d8a\u754c\u8bfb\u53d6\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://git.ffmpeg.org/gitweb/ffmpeg.git",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-78137",
"openTime": "2022-11-15",
"patchDescription": "FFmpeg\u662fFFmpeg\u56e2\u961f\u7684\u4e00\u5957\u53ef\u5f55\u5236\u3001\u8f6c\u6362\u4ee5\u53ca\u6d41\u5316\u97f3\u89c6\u9891\u7684\u5b8c\u6574\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nFFmpeg\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eQuickTime RPZA Video Encoder\u7ec4\u4ef6\u7684\u6587\u4ef6ibavcodec/rpzaenc.c\u7684\u672a\u77e5\u529f\u80fd\uff0c\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u901a\u8fc7\u64cd\u4f5c\u53c2\u6570y_size\u5bfc\u81f4\u8d8a\u754c\u8bfb\u53d6\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": "FFmpeg\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-78137\uff09\u7684\u8865\u4e01",
"products": {
"product": "FFmpeg Ffmpeg"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-3964",
"serverity": "\u4e2d",
"submitTime": "2022-11-15",
"title": "FFmpeg\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-78137\uff09"
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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