Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing
A study of 180 US workers found each LLM phishing personalization level raised click-intention odds by 28%, but credibility depends on context fit.
The arXiv paper evaluates how personalized pretexts in LLM-generated spear phishing affect perceived credibility, using 180 US working adults across 1,436 evaluations of emails with four cumulative personalization levels, from workplace context to shared-project details. Convincingness rose 2.40 points per level in sensitivity analysis and click-intention odds increased 28% per level, while non-clickers shifted toward deleting rather than reporting. Qualitative coding showed details matching the recipient's role and routines supported credibility, whereas incorrect, vague, or channel-inappropriate details raised suspicion. The authors argue personalization effectiveness depends on pretext fit, with implications for workplace security training.
- 1,436 evaluations; click-intention odds rose 28% per personalization level
- Role-matching details boosted credibility; vague or wrong details raised suspicion
- Messages from named individuals referencing coworkers beat departmental senders
- Countries
- United States
From the original article
1 min read at arxiv.orgLarge language models can insert workplace details into phishing pretexts at low cost, but those details may either support or undermine a message's credibility. We recruited 180 U. S.
By Jerson Francia · arxiv.org
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