CNVD-2020-27286
Vulnerability from cnvd - Published: 2020-05-09
VLAI
Title
Xiaomi Xiao AI Speaker Pro LX06输入验证错误漏洞
Description
Xiaomi Xiao AI Speaker Pro LX06是中国小米科技(Xiaomi)公司的一款智能音箱。
Xiaomi Xiao AI Speaker Pro LX06 1.52.4版本中存在输入验证错误漏洞。攻击者可通过访问UART接口利用该漏洞获取root shell,进而读取Wi-Fi SSID或密码,停止语音助手服务,修改局域网内路由器配置,修改系统文件或执行其他恶意操作。
Severity
高
Formal description
目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://www.mi.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-10263
Impacted products
| Name | Xiaomi Xiao AI Speaker Pro LX06 1.52.4 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-10263"
}
},
"description": "Xiaomi Xiao AI Speaker Pro LX06\u662f\u4e2d\u56fd\u5c0f\u7c73\u79d1\u6280\uff08Xiaomi\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u97f3\u7bb1\u3002\n\nXiaomi Xiao AI Speaker Pro LX06 1.52.4\u7248\u672c\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bbf\u95eeUART\u63a5\u53e3\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6root shell\uff0c\u8fdb\u800c\u8bfb\u53d6Wi-Fi SSID\u6216\u5bc6\u7801\uff0c\u505c\u6b62\u8bed\u97f3\u52a9\u624b\u670d\u52a1\uff0c\u4fee\u6539\u5c40\u57df\u7f51\u5185\u8def\u7531\u5668\u914d\u7f6e\uff0c\u4fee\u6539\u7cfb\u7edf\u6587\u4ef6\u6216\u6267\u884c\u5176\u4ed6\u6076\u610f\u64cd\u4f5c\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://www.mi.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-27286",
"openTime": "2020-05-09",
"products": {
"product": "Xiaomi Xiao AI Speaker Pro LX06 1.52.4"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-10263",
"serverity": "\u9ad8",
"submitTime": "2020-04-09",
"title": "Xiaomi Xiao AI Speaker Pro LX06\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\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.