Vulnerability-Lookup

CNVD-2021-28368

Vulnerability from cnvd - Published: 2021-04-15

Title

Skyworth Digital Technology RN510跨站请求伪造漏洞

Description

RN510是Skyworth Digital Technology公司推出的一款双频无线AC2100接入点。 Skyworth Digital Technology RN510 V.3.1.0.4版中的/cgi-bin/net-routeadd.asp和/cgi-bin/sec-urlfilter.asp存在跨站请求伪造漏洞。目前没有详细的漏洞细节提供。

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：https://en.skyworthdigital.com/products-detail/ProId/15.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-25327

Impacted products

Name
Skyworth Digital Technology RN510 V.3.1.0.4

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2021-25327",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-25327"
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  "description": "RN510\u662fSkyworth Digital Technology\u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u53cc\u9891\u65e0\u7ebfAC2100\u63a5\u5165\u70b9\u3002\n\nSkyworth Digital Technology RN510 V.3.1.0.4\u7248\u4e2d\u7684/cgi-bin/net-routeadd.asp\u548c/cgi-bin/sec-urlfilter.asp\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1ahttps://en.skyworthdigital.com/products-detail/ProId/15.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-28368",
  "openTime": "2021-04-15",
  "products": {
    "product": "Skyworth Digital Technology RN510 V.3.1.0.4"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-25327",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-12",
  "title": "Skyworth Digital Technology RN510\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}

CVE-2021-25327 (GCVE-0-2021-25327)

Vulnerability from cvelistv5 – Published: 2021-04-09 12:19 – Updated: 2024-08-03 20:03

Summary

Skyworth Digital Technology RN510 V.3.1.0.4 contains a cross-site request forgery (CSRF) vulnerability in /cgi-bin/net-routeadd.asp and /cgi-bin/sec-urlfilter.asp. Missing CSRF protection in devices can lead to XSRF, as the above pages are vulnerable to cross-site scripting (XSS).

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://s3curityb3ast.github.io/KSA-Dev-012.md	x_refsource_MISC
http://seclists.org/fulldisclosure/2021/May/6	mailing-listx_refsource_FULLDISC
http://packetstormsecurity.com/files/162454/Shenz…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.