This SoK paper introduces a nine-stage taxonomy for LLM guardrail breaches in phishing, characterizes evasion and manipulation tactics, and identifies a dynamic-offense versus static-defense asymmetry.
Evaluating large language models’ capability to launch fully automated spear phishing campaigns: validated on human sub- jects
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Agentic AI eliminates the fidelity-scale tradeoff in deception, enabling the Infinite Impostor attack that hijacks trusted relationships at mass scale and requiring a shift to suspect-by-default security based on evaluating actions rather than actors.
citing papers explorer
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SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing
This SoK paper introduces a nine-stage taxonomy for LLM guardrail breaches in phishing, characterizes evasion and manipulation tactics, and identifies a dynamic-offense versus static-defense asymmetry.
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The End of Trust: How Agentic AI Breaks Security Assumptions
Agentic AI eliminates the fidelity-scale tradeoff in deception, enabling the Infinite Impostor attack that hijacks trusted relationships at mass scale and requiring a shift to suspect-by-default security based on evaluating actions rather than actors.
- Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning