{"id":"W4404740962","doi":"10.1109/mobisecserv63327.2024.10760006","title":"Leveraging Human Knowledge in Large Language Model for Obfuscation-Resisted Phishing URL Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Obfuscation; Phishing; Computer science; Malware; Computer security; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292883,0.001115232,0.0008286685,0.001117513,0.000388816,0.0009641387,0.0008327477,0.001124624,0.001353854],"category_scores_gemma":[0.005953687,0.0004311528,0.0007894976,0.0005156915,0.0006075557,0.002324193,0.0009077131,0.002084807,0.001535506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008191988,"about_ca_system_score_gemma":0.001126771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007193774,"about_ca_topic_score_gemma":0.0104598,"domain_scores_codex":[0.9992686,0.0002656555,0.00003793338,0.0001968475,0.0001402635,0.00009079477],"domain_scores_gemma":[0.99732,0.001723381,0.000226059,0.0002453681,0.0003845511,0.0001005883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005856728,0.000850198,0.01346872,0.0002884656,0.0002275429,0.0005994962,0.000375097,0.532721,0.0244529,0.004875053,0.009712747,0.4118431],"study_design_scores_gemma":[0.000007924168,0.00004619538,0.0003802963,0.000009523086,0.00001497995,0.00005407049,0.00001331092,0.9947808,0.002489944,0.001713701,0.0004775753,0.00001169887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3337162,0.002599422,0.6433074,0.002365026,0.0002928109,0.0002004819,0.0007501075,0.01010893,0.006659669],"genre_scores_gemma":[0.9260306,0.0005475397,0.06771851,0.0006326405,0.0001246507,0.00008632673,0.0008316925,0.0001638809,0.003864181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007193774,"threshold_uncertainty_score":0.0143038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461630860754857,"score_gpt":0.3107950751636736,"score_spread":0.2761787665561251,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}