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Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing

arXiv cs.CRby Jerson Francia ()1 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

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.

Key facts
  • 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
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From the original article

1 min read at arxiv.org

Large 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.

arXiv cs.CR

By Jerson Francia · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.