CNVD-2026-37300
Vulnerability from cnvd - Published: 2026-09-17
VLAI
Title
TOTOLINK N600R加密问题漏洞
Description
TOTOLINK N600R是TOTOLINK品牌推出的一款面向家庭和小型办公环境的无线路由器。
TOTOLINK N600R存在加密问题漏洞,该漏洞源于身份验证模块在生成随机值时缺乏足够的随机性,导致可预测的随机值。攻击者可利用该漏洞远程预测认证令牌,从而绕过身份验证,获取敏感信息。
Severity
低
Formal description
目前厂商尚未发布升级程序修复该安全问题,详情见厂商官网: https://www.totolink.net/
Reference
https://vuldb.com/vuln/397071
https://vuldb.com/vuln/397071/cti
https://vuldb.com/cve/CVE-2026-82555
https://vuldb.com/submit/891698
https://github.com/b1uerry/cves/tree/main/TOTOLINK/N600R/TOTOLINK_N600R_predictable-token
https://github.com/b1uerry/cves/blob/main/TOTOLINK/N600R/TOTOLINK_N600R_predictable-token/poc.py
https://www.totolink.net/
Impacted products
| Name | TOTOLINK N600R 4.3.0cu.7866_B20220506 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2026-82555",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-82555"
}
},
"description": "TOTOLINK N600R\u662fTOTOLINK\u54c1\u724c\u63a8\u51fa\u7684\u4e00\u6b3e\u9762\u5411\u5bb6\u5ead\u548c\u5c0f\u578b\u529e\u516c\u73af\u5883\u7684\u65e0\u7ebf\u8def\u7531\u5668\u200c\u3002\n\nTOTOLINK N600R\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8eab\u4efd\u9a8c\u8bc1\u6a21\u5757\u5728\u751f\u6210\u968f\u673a\u503c\u65f6\u7f3a\u4e4f\u8db3\u591f\u7684\u968f\u673a\u6027\uff0c\u5bfc\u81f4\u53ef\u9884\u6d4b\u7684\u968f\u673a\u503c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdc\u7a0b\u9884\u6d4b\u8ba4\u8bc1\u4ee4\u724c\uff0c\u4ece\u800c\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\uff0c\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://www.totolink.net/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-37300",
"openTime": "2026-09-17",
"products": {
"product": "TOTOLINK N600R 4.3.0cu.7866_B20220506"
},
"referenceLink": "https://vuldb.com/vuln/397071\r\nhttps://vuldb.com/vuln/397071/cti\r\nhttps://vuldb.com/cve/CVE-2026-82555\r\nhttps://vuldb.com/submit/891698\r\nhttps://github.com/b1uerry/cves/tree/main/TOTOLINK/N600R/TOTOLINK_N600R_predictable-token\r\nhttps://github.com/b1uerry/cves/blob/main/TOTOLINK/N600R/TOTOLINK_N600R_predictable-token/poc.py\r\nhttps://www.totolink.net/",
"serverity": "\u4f4e",
"submitTime": "2026-08-31",
"title": "TOTOLINK N600R\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- 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.
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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.
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