CNVD-2026-38830
Vulnerability from cnvd - Published: 2026-09-28
VLAI
Title
Netcore NR268加密问题漏洞(CNVD-2026-38830)
Description
Netcore NR268是磊科推出的一款上网行为管理路由器。
Netcore NR268存在加密问题漏洞,该漏洞源于恢复存档处理过程中缺少完整性检查,导致安全校验可被绕过。攻击者可利用该漏洞绕过受限恢复存档处理机制,影响系统完整性和可用性。
Severity
高
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.netcoretec.com/
Reference
https://github.com/draw-ctf/netcore-router-public-refs/blob/main/2026.08.19-netcore-nr268-restore-bypass.md
https://www.vulncheck.com/advisories/netcore-nr268-1.7.121109-security-check-bypass-in-parame-put-file-cgi
Impacted products
| Name | Netcore NR268 1.7.121109 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2026-76853",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-76853"
}
},
"description": "Netcore NR268\u662f\u78ca\u79d1\u63a8\u51fa\u7684\u4e00\u6b3e\u200c\u4e0a\u7f51\u884c\u4e3a\u7ba1\u7406\u8def\u7531\u5668\u3002\n\nNetcore NR268\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6062\u590d\u5b58\u6863\u5904\u7406\u8fc7\u7a0b\u4e2d\u7f3a\u5c11\u5b8c\u6574\u6027\u68c0\u67e5\uff0c\u5bfc\u81f4\u5b89\u5168\u6821\u9a8c\u53ef\u88ab\u7ed5\u8fc7\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u53d7\u9650\u6062\u590d\u5b58\u6863\u5904\u7406\u673a\u5236\uff0c\u5f71\u54cd\u7cfb\u7edf\u5b8c\u6574\u6027\u548c\u53ef\u7528\u6027\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.netcoretec.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-38830",
"openTime": "2026-09-28",
"products": {
"product": "Netcore NR268 1.7.121109"
},
"referenceLink": "https://github.com/draw-ctf/netcore-router-public-refs/blob/main/2026.08.19-netcore-nr268-restore-bypass.md\r\nhttps://www.vulncheck.com/advisories/netcore-nr268-1.7.121109-security-check-bypass-in-parame-put-file-cgi",
"serverity": "\u9ad8",
"submitTime": "2026-09-21",
"title": "Netcore NR268\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2026-38830\uff09"
}
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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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