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Research→Official→Preprint→arXiv Cryptography and Security

LLM Multi-Agent System Uncovers 84 Vulnerabilities in Cellular Core Networks

Jul 14, 2026

Researchers introduced iFinder, a multi-agent system powered by large language models (LLMs), to detect implicit trust errors in cellular core network (CN) implementations. Applied to seven open-source CN projects, iFinder uncovered 84 previously unknown vulnerabilities, with 83 confirmed and 81 assigned CVEs. Notably, a session-hijacking flaw was validated on commercial 5G networks.

Why it matters: This work demonstrates a novel and effective use of LLMs for automated vulnerability discovery in critical cellular infrastructure, highlighting systemic security risks as networks move to cloud-native architectures.

Full story at: arXiv Cryptography and Security ↗

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