{"url":"/dataset/llm-generated-spear-phishing-emails","name":"LLM Generated Spear Phishing Emails","full_name":null,"description_markdown":"This dataset comprises high-quality, targeted spear-phishing emails created using a proprietary system that harnesses the power of LLMs and knowledge graphs. The primary purpose of releasing this dataset is to promote and facilitate further research in the field of spear-phishing detection.\r\n\r\nWe anticipate that LLM-generated spear-phishing attacks will soon gain prominence and potentially surpass traditional phishing campaigns, which current detection solutions are designed to identify.","description_withheld":null,"homepage":"https://github.com/nahmiasd/Prompted-Contextual-Vectors-for-Spear-Phishing-Detection/tree/main/data/emails/spear_phishing","introduced_date":"2024-02-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/prompted-contextual-vectors-for-spear","title":"Prompted Contextual Vectors for Spear-Phishing Detection","first_author":"Daniel Nahmias","url":null},"license":{"name":"CC BY-SA","url":"https://github.com/nahmiasd/Prompted-Contextual-Vectors-for-Spear-Phishing-Detection/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["LLM Generated Spear Phishing Emails"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}