Detecting Malicious Entra OAuth Apps with LLM-Based Permission Risk Scoring
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912772490526720 |
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| author | Mahara, Ashim |
| author_facet | Mahara, Ashim |
| contents | This project presents a unified detection framework that constructs a complete corpus of Microsoft Graph permissions, generates consistent LLM-based risk scores, and integrates them into a real-time detection engine to identify malicious OAuth consent activity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_15781 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Detecting Malicious Entra OAuth Apps with LLM-Based Permission Risk Scoring Mahara, Ashim Cryptography and Security This project presents a unified detection framework that constructs a complete corpus of Microsoft Graph permissions, generates consistent LLM-based risk scores, and integrates them into a real-time detection engine to identify malicious OAuth consent activity. |
| title | Detecting Malicious Entra OAuth Apps with LLM-Based Permission Risk Scoring |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2512.15781 |