CNVD-2026-34246
Vulnerability from cnvd - Published: 2026-08-28
VLAI
Title
Ffmpeg FFmpeg资源管理错误漏洞(CNVD-2026-34246)
Description
FFmpeg是FFmpeg的一款开源多媒体处理工具。
FFmpeg 3.0至9.0之前版本存在未初始化资源的使用漏洞,该漏洞源于原生Screenpresso解码器在解压数据不足时未正确验证输出字节数,导致未初始化的堆内存被复制到解码输出。攻击者可利用该漏洞通过构造特制的SPV1数据包恢复敏感内存内容,可能泄露用户空间地址等敏感信息。
Severity
中
Patch Name
Ffmpeg FFmpeg资源管理错误漏洞(CNVD-2026-34246)的补丁
Patch Description
FFmpeg是FFmpeg的一款开源多媒体处理工具。
FFmpeg 3.0至9.0之前版本存在未初始化资源的使用漏洞,该漏洞源于原生Screenpresso解码器在解压数据不足时未正确验证输出字节数,导致未初始化的堆内存被复制到解码输出。攻击者可利用该漏洞通过构造特制的SPV1数据包恢复敏感内存内容,可能泄露用户空间地址等敏感信息。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
目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23896
Reference
https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23896
https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/9a3202a98b2e095b54dd784c3e01a09a676fc3fa
https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/705890061467ad550ecc1dad5eea07f28ccfb43e
https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/c22667d0fd7916a33fd3e79685b7246fc48f1a62
Impacted products
| Name | FFmpeg FFmpeg >=3.0,<9.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2026-70630",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-70630"
}
},
"description": "FFmpeg\u662fFFmpeg\u7684\u4e00\u6b3e\u5f00\u6e90\u591a\u5a92\u4f53\u5904\u7406\u5de5\u5177\u3002\n\nFFmpeg 3.0\u81f39.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u672a\u521d\u59cb\u5316\u8d44\u6e90\u7684\u4f7f\u7528\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u539f\u751fScreenpresso\u89e3\u7801\u5668\u5728\u89e3\u538b\u6570\u636e\u4e0d\u8db3\u65f6\u672a\u6b63\u786e\u9a8c\u8bc1\u8f93\u51fa\u5b57\u8282\u6570\uff0c\u5bfc\u81f4\u672a\u521d\u59cb\u5316\u7684\u5806\u5185\u5b58\u88ab\u590d\u5236\u5230\u89e3\u7801\u8f93\u51fa\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u7279\u5236\u7684SPV1\u6570\u636e\u5305\u6062\u590d\u654f\u611f\u5185\u5b58\u5185\u5bb9\uff0c\u53ef\u80fd\u6cc4\u9732\u7528\u6237\u7a7a\u95f4\u5730\u5740\u7b49\u654f\u611f\u4fe1\u606f\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23896",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-34246",
"openTime": "2026-08-28",
"patchDescription": "FFmpeg\u662fFFmpeg\u7684\u4e00\u6b3e\u5f00\u6e90\u591a\u5a92\u4f53\u5904\u7406\u5de5\u5177\u3002\r\n\r\nFFmpeg 3.0\u81f39.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u672a\u521d\u59cb\u5316\u8d44\u6e90\u7684\u4f7f\u7528\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u539f\u751fScreenpresso\u89e3\u7801\u5668\u5728\u89e3\u538b\u6570\u636e\u4e0d\u8db3\u65f6\u672a\u6b63\u786e\u9a8c\u8bc1\u8f93\u51fa\u5b57\u8282\u6570\uff0c\u5bfc\u81f4\u672a\u521d\u59cb\u5316\u7684\u5806\u5185\u5b58\u88ab\u590d\u5236\u5230\u89e3\u7801\u8f93\u51fa\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u7279\u5236\u7684SPV1\u6570\u636e\u5305\u6062\u590d\u654f\u611f\u5185\u5b58\u5185\u5bb9\uff0c\u53ef\u80fd\u6cc4\u9732\u7528\u6237\u7a7a\u95f4\u5730\u5740\u7b49\u654f\u611f\u4fe1\u606f\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 FFmpeg\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2026-34246\uff09\u7684\u8865\u4e01",
"products": {
"product": "FFmpeg FFmpeg \u003e=3.0\uff0c\u003c9.0"
},
"referenceLink": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23896\r\nhttps://code.ffmpeg.org/FFmpeg/FFmpeg/commit/9a3202a98b2e095b54dd784c3e01a09a676fc3fa\r\nhttps://code.ffmpeg.org/FFmpeg/FFmpeg/commit/705890061467ad550ecc1dad5eea07f28ccfb43e\r\nhttps://code.ffmpeg.org/FFmpeg/FFmpeg/commit/c22667d0fd7916a33fd3e79685b7246fc48f1a62",
"serverity": "\u4e2d",
"submitTime": "2026-08-12",
"title": "Ffmpeg FFmpeg\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2026-34246\uff09"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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