Can LLMs Keep Up? Evaluating Phishing Detection on Telegram
inforesearchPeer-ReviewedLLM-Specific
securityresearch
Source: ACM Digital Library (TOPS, DTRAP, CSUR)September 11, 2026
Summary
This research paper evaluates whether large language models (LLMs, AI systems trained on vast amounts of text data) can effectively detect phishing messages (fraudulent messages designed to steal information) on Telegram, a messaging platform. The study examines how well LLMs perform at this security task compared to traditional detection methods.
Classification
Attack SophisticationModerate
Impact (CIA+S)
integritysafety
AI Component TargetedModel
Monthly digest — independent AI security research
Original source: https://dl.acm.org/doi/abs/10.1145/3829369?af=R
First tracked: September 11, 2026 at 08:01 AM
Classified by LLM (prompt v3) · confidence: 75%