CNVD-2023-64212
Vulnerability from cnvd - Published: 2023-08-21
VLAI
Title
ASUSTOR Data Master输入验证错误漏洞(CNVD-2023-64212)
Description
ASUSTOR Data Master是中国华硕(ASUS)公司的专属于ASUSTOR NAS上的操作系统。
ASUSTOR Data Master存在输入验证错误漏洞,该漏洞源于Printer服务无法充分处理用户输入,攻击者可利用该漏洞导航到其他目录并删除文件。
Severity
高
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://github.com/M19O/Security-Advisories/tree/main/CVE-2023-36983
Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-3698
Impacted products
| Name | ['ASUSTOR ASUSTOR Data Master <=4.1.0', 'ASUSTOR ASUSTOR Data Master 4.0.6.RIS1', 'ASUSTOR ASUSTOR Data Master <=4.2.2.RI61'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2023-3698",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-3698"
}
},
"description": "ASUSTOR Data Master\u662f\u4e2d\u56fd\u534e\u7855\uff08ASUS\uff09\u516c\u53f8\u7684\u4e13\u5c5e\u4e8eASUSTOR NAS\u4e0a\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002\n\nASUSTOR Data Master\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8ePrinter\u670d\u52a1\u65e0\u6cd5\u5145\u5206\u5904\u7406\u7528\u6237\u8f93\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u822a\u5230\u5176\u4ed6\u76ee\u5f55\u5e76\u5220\u9664\u6587\u4ef6\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://github.com/M19O/Security-Advisories/tree/main/CVE-2023-36983",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2023-64212",
"openTime": "2023-08-21",
"products": {
"product": [
"ASUSTOR ASUSTOR Data Master \u003c=4.1.0",
"ASUSTOR ASUSTOR Data Master 4.0.6.RIS1",
"ASUSTOR ASUSTOR Data Master \u003c=4.2.2.RI61"
]
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-3698",
"serverity": "\u9ad8",
"submitTime": "2023-08-19",
"title": "ASUSTOR Data Master\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2023-64212\uff09"
}
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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.