CNVD-2017-36707
Vulnerability from cnvd - Published: 2017-12-08
VLAI
Title
Libav ff_vc1_mc_4mv_chroma4函数拒绝服务漏洞
Description
Libav是一款开源音视频处理工具,提供用于转换、操纵及流式传输各种多媒体格式和协议的跨平台工具和库。
Libav 12.2中的libavcodec/vc1_mc.c中的ff_vc1_mc_4mv_chroma4函数存在拒绝服务漏洞。远程攻击者可通过特制文件利用该漏洞导致拒绝服务(分段错误和应用程序崩溃)或可能造成其他影响。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.libav.org/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-17129
Impacted products
| Name | Libav Libav 12.2 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2017-17129"
}
},
"description": "Libav\u662f\u4e00\u6b3e\u5f00\u6e90\u97f3\u89c6\u9891\u5904\u7406\u5de5\u5177\uff0c\u63d0\u4f9b\u7528\u4e8e\u8f6c\u6362\u3001\u64cd\u7eb5\u53ca\u6d41\u5f0f\u4f20\u8f93\u5404\u79cd\u591a\u5a92\u4f53\u683c\u5f0f\u548c\u534f\u8bae\u7684\u8de8\u5e73\u53f0\u5de5\u5177\u548c\u5e93\u3002\r\n\r\nLibav 12.2\u4e2d\u7684libavcodec/vc1_mc.c\u4e2d\u7684ff_vc1_mc_4mv_chroma4\u51fd\u6570\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u5206\u6bb5\u9519\u8bef\u548c\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\u6216\u53ef\u80fd\u9020\u6210\u5176\u4ed6\u5f71\u54cd\u3002",
"discovererName": "Mingi Cho",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.libav.org/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-36707",
"openTime": "2017-12-08",
"products": {
"product": "Libav Libav 12.2"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-17129",
"serverity": "\u4e2d",
"submitTime": "2017-12-05",
"title": "Libav ff_vc1_mc_4mv_chroma4\u51fd\u6570\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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.