Vulnerability-Lookup

CNVD-2022-60148

Vulnerability from cnvd - Published: 2022-08-31

Title

FFmpeg output_frame()函数拒绝服务漏洞

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 output_frame()函数存在拒绝服务漏洞，攻击者可利用该漏洞导致拒绝服务攻击。

Severity

中

Patch Name

FFmpeg output_frame()函数拒绝服务漏洞的补丁

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 output_frame()函数存在拒绝服务漏洞，攻击者可利用该漏洞导致拒绝服务攻击。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： http://git.videolan.org/?p=ffmpeg.git;a=commit;h=8c55ff393340998faae887dfac19e7ef128e1e58

Reference

https://nvd.nist.gov/vuln/detail/CVE-2014-125006

Impacted products

Name
FFmpeg Ffmpeg 2.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2014-125006"
    }
  },
  "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 output_frame()\u51fd\u6570\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u653b\u51fb\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\uff1a\r\nhttp://git.videolan.org/?p=ffmpeg.git;a=commit;h=8c55ff393340998faae887dfac19e7ef128e1e58",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-60148",
  "openTime": "2022-08-31",
  "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 output_frame()\u51fd\u6570\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u653b\u51fb\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 output_frame()\u51fd\u6570\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e \u7684\u8865\u4e01",
  "products": {
    "product": "FFmpeg Ffmpeg 2.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2014-125006",
  "serverity": "\u4e2d",
  "submitTime": "2022-06-21",
  "title": "FFmpeg output_frame()\u51fd\u6570\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2014-125006 (GCVE-0-2014-125006)

Vulnerability from cvelistv5 – Published: 2022-06-18 06:15 – Updated: 2025-04-15 14:23

Title

FFmpeg h264.c output_frame memory corruption

Summary

A vulnerability, which was classified as problematic, has been found in FFmpeg 2.0. Affected by this issue is the function output_frame of the file libavcodec/h264.c. The manipulation leads to memory corruption. The attack may be launched remotely. It is recommended to apply a patch to fix this issue.

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-14 16:58 UTC

CWE

CWE-119 - Memory Corruption

Assigner

VulDB mitre root Scorecard

References

2 references

URL	Tags
http://git.videolan.org/?p=ffmpeg.git%3Ba=commit%…	x_refsource_MISC
https://vuldb.com/?id.12584	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
unspecified	FFmpeg	Affected: 2.0

Credits

Mateusz Jurczyk/Gynvael Coldwind

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

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Confirmed: The vulnerability has been validated from an analyst's perspective.
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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.

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.
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CNVD-2022-60148

CVE-2014-125006 (GCVE-0-2014-125006)

Tags

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Nomenclature

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