FKIE_CVE-2025-63418
Vulnerability from fkie_nvd - Published: 2025-11-05 19:16 - Updated: 2026-06-17 09:53
Severity
Summary
A DOM-based Cross-Site Scripting (XSS) vulnerability in the SelfBest platform 2023.3 allows attackers to execute arbitrary JavaScript in the context of a logged-in user's session by injecting payloads via the browser's developer console. The vulnerability arises from the application's client-side code being susceptible to direct DOM manipulation without adequate sanitization or a Content Security Policy (CSP), potentially leading to account takeover and data theft.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://rohitchaudhary045.medium.com/cve-2025-63418-weaponizing-the-browser-console-a-dom-based-xss-deep-dive-25ed3ac9cb53 | Exploit, Mitigation, Third Party Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://rohitchaudhary045.medium.com/cve-2025-63418-weaponizing-the-browser-console-a-dom-based-xss-deep-dive-25ed3ac9cb53 | Exploit, Mitigation, Third Party Advisory |
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"id": "CVE-2025-63418",
"lastModified": "2026-06-17T09:53:06.497",
"metrics": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
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"timestamp": "2025-11-06T16:55:42.474207Z",
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}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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.
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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.