CNVD-2022-05017
Vulnerability from cnvd - Published: 2022-01-19
VLAI
Title
Clementine拒绝服务漏洞
Description
Clementine是个人开发者的一个多平台音乐播放器,可以运行在 GNU/Linux, Mac OS X 与 Windows 操作系统上。
Clementine Music Player在1.3.1之前存在拒绝服务漏洞,该漏洞源于在块数据移动时易受读取访问冲突的影响,从而影响memcpy+0x265的MP3文件解析功能。攻击者可以利用此问题导致 clementine.exe 进程崩溃 (DoS) 或在当前登录的 Windows 用户的上下文中实现任意代码执行。
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://voidsec.com/advisories/cve-2021-40827/
Reference
https://voidsec.com/advisories/cve-2021-40827/
Impacted products
| Name | Clementine Clementine <=1.3.1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-40827",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-40827"
}
},
"description": "Clementine\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u4e2a\u591a\u5e73\u53f0\u97f3\u4e50\u64ad\u653e\u5668\uff0c\u53ef\u4ee5\u8fd0\u884c\u5728 GNU/Linux, Mac OS X \u4e0e Windows \u64cd\u4f5c\u7cfb\u7edf\u4e0a\u3002\n\nClementine Music Player\u57281.3.1\u4e4b\u524d\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u5757\u6570\u636e\u79fb\u52a8\u65f6\u6613\u53d7\u8bfb\u53d6\u8bbf\u95ee\u51b2\u7a81\u7684\u5f71\u54cd\uff0c\u4ece\u800c\u5f71\u54cdmemcpy+0x265\u7684MP3\u6587\u4ef6\u89e3\u6790\u529f\u80fd\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u95ee\u9898\u5bfc\u81f4 clementine.exe \u8fdb\u7a0b\u5d29\u6e83 (DoS) \u6216\u5728\u5f53\u524d\u767b\u5f55\u7684 Windows \u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u5b9e\u73b0\u4efb\u610f\u4ee3\u7801\u6267\u884c\u3002",
"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://voidsec.com/advisories/cve-2021-40827/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-05017",
"openTime": "2022-01-19",
"products": {
"product": "Clementine Clementine \u003c=1.3.1"
},
"referenceLink": "https://voidsec.com/advisories/cve-2021-40827/",
"serverity": "\u4e2d",
"submitTime": "2021-12-19",
"title": "Clementine\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}
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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.