Development of a Telegram bot for automated forensic email analysis
This thesis presents the development of a Telegram bot designed to analysen .eml email files for potential phishing attempts. The bot integrates multiple APIs, including VirusTotal, AbuseIPDB, URLScan, and OpenAI's ChatGPT, to provide automated and detailed analysis reports. The project aims to...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/423354 |
| Acceso en línea: | https://hdl.handle.net/2117/423354 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer security Software engineering Intelligent agents (Computer software) Telegram bot phishing analysis Seguretat informàtica Enginyeria de programari Agents intel·ligents (Programari) Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica |
| Sumario: | This thesis presents the development of a Telegram bot designed to analysen .eml email files for potential phishing attempts. The bot integrates multiple APIs, including VirusTotal, AbuseIPDB, URLScan, and OpenAI's ChatGPT, to provide automated and detailed analysis reports. The project aims to create a user-friendly tool accessible to individuals regardless of technical expertise, incorporating educational elements to inform users about phishing threats and preventive measures. The system offers practical tips and real-world examples to enhance user awareness and ability to identify phishing emails. |
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