Giovanni Costanzo Giordano
Exploring LLM based solutions for IoC extraction and classification in social media: Reddit case study.
Rel. Danilo Giordano, Giordano Paoletti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2026
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Abstract
The rapid expansion of online social platforms has created unprecedented opportunities for global interaction, but also new vectors for large-scale fraud. Millions of users rely on social media to seek financial advice, discuss investment opportunities, or request techni- cal support activities that are particularly vulnerable to manipulation. The unstructured and open nature of forum-based interactions provides fertile ground for malicious actors who exploit both platform architectures and social dynamics to deceive users. In cyber threat intelligence, the ability to extract indicators of compromise (IoCs) from unstruc- tured sources, such as social media posts, forums or instant messaging chat is crucial for correctly identifying potential threats.
Standard approaches rely on tools that mainly exploit regular expressions to correctly extract the relevant indicators
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