CVE-2018-5280 (GCVE-0-2018-5280)
Vulnerability from cvelistv5 – Published: 2018-01-08 09:00 – Updated: 2024-08-05 05:33
VLAI
EPSS
VEX
Summary
SonicWall SonicOS on Network Security Appliance (NSA) 2016 Q4 devices has XSS via the Configure SSO screens.
Severity
5.4 (Medium)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://psirt.global.sonicwall.com/vuln-detail/SN… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/102438 | vdb-entryx_refsource_BID |
| https://www.vulnerability-lab.com/get_content.php… | x_refsource_MISC |
Date Public
2018-01-08 00:00
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"suse_vex": {
"aggregate_severity": "low",
"current_release_date": "2025-04-25T07:16:19Z",
"cve": "CVE-2018-5280",
"id": "CVE-2018-5280",
"initial_release_date": "2023-02-15T04:31:46Z",
"product_status:recommended": "7",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2018-5280",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2018-5280.json",
"version": "7"
}
}
}
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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.
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.
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