CNVD-2019-39558
Vulnerability from cnvd - Published: 2019-11-07
VLAI
Title
D-Link DIR-825跨路由器隐蔽通道漏洞
Description
D-Link DIR-825是一款AC 1200 Wi-Fi双频千兆(LAN/WAN)路由器。
D-link DIR-825 G1存在跨路由器隐蔽通道漏洞。该漏洞源于由同一设备建立的主机网络和客户端网络之间的隔离不足。攻击者可通过由其控制的IGMP成员查询数据包的Group IP字段利用该漏洞进行攻击。
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: http://www.dlink.com.cn
Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-13264
Impacted products
| Name | D-Link DIR-825 G1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-13264",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-13264"
}
},
"description": "D-Link DIR-825\u662f\u4e00\u6b3eAC 1200 Wi-Fi\u53cc\u9891\u5343\u5146(LAN/WAN)\u8def\u7531\u5668\u3002\n\nD-link DIR-825 G1\u5b58\u5728\u8de8\u8def\u7531\u5668\u9690\u853d\u901a\u9053\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7531\u540c\u4e00\u8bbe\u5907\u5efa\u7acb\u7684\u4e3b\u673a\u7f51\u7edc\u548c\u5ba2\u6237\u7aef\u7f51\u7edc\u4e4b\u95f4\u7684\u9694\u79bb\u4e0d\u8db3\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7531\u5176\u63a7\u5236\u7684IGMP\u6210\u5458\u67e5\u8be2\u6570\u636e\u5305\u7684Group IP\u5b57\u6bb5\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u653b\u51fb\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\nhttp://www.dlink.com.cn",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2019-39558",
"openTime": "2019-11-07",
"products": {
"product": "D-Link DIR-825 G1"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-13264",
"serverity": "\u4e2d",
"submitTime": "2019-08-28",
"title": "D-Link DIR-825\u8de8\u8def\u7531\u5668\u9690\u853d\u901a\u9053\u6f0f\u6d1e"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.