GSD-2021-25327
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
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).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-25327",
"description": "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).",
"id": "GSD-2021-25327",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2021-25327"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "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).",
"id": "GSD-2021-25327",
"modified": "2023-12-13T01:23:21.497934Z",
"schema_version": "1.4.0"
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"url": "https://s3curityb3ast.github.io/KSA-Dev-012.md"
},
{
"name": "20210504 KSA-Dev-0011:CVE-2021-25327: Authenticated XSRF in Skyworth RN510 Mesh Extender",
"refsource": "FULLDISC",
"url": "http://seclists.org/fulldisclosure/2021/May/6"
},
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"name": "http://packetstormsecurity.com/files/162454/Shenzhen-Skyworth-RN510-Cross-Site-Request-Forgery-Cross-Site-Scripting.html",
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}
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"impact": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-06-04T18:57Z",
"publishedDate": "2021-04-09T13:15Z"
}
}
}
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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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