{"id":"W4411628731","doi":"10.36227/techrxiv.175087100.06475579/v1","title":"Analysis of Phishing Attacks and Effective Countermeasures","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Phishing; Computer security; Computer science; Internet privacy; Countermeasure; Business; World Wide Web; Engineering; 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":[0.0009180453,0.0003485549,0.0002299612,0.005813215,0.0004579393,0.001293752,0.0002298157,0.0004573131,0.001668916],"category_scores_gemma":[0.004375088,0.0001296802,0.0003206943,0.003101174,0.0003758124,0.001065045,0.0004357205,0.0003808923,0.0003440146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008507886,"about_ca_system_score_gemma":0.000963518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643173,"about_ca_topic_score_gemma":0.002818266,"domain_scores_codex":[0.9991434,0.0002149698,0.00007501772,0.00006809874,0.0003839839,0.0001145283],"domain_scores_gemma":[0.9965599,0.001515064,0.0007185317,0.0001502596,0.000953097,0.0001031105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003251536,0.0003922416,0.2942274,0.003248131,0.0003237131,0.001816027,0.004169857,0.0159315,0.007923268,0.04510638,0.007366551,0.6191698],"study_design_scores_gemma":[0.00002351907,0.001354222,0.7921187,0.002317443,0.0003917969,0.002597944,0.02475228,0.04998788,0.01405255,0.02071421,0.09158497,0.000104548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988856,0.02099112,0.01460097,0.002053397,0.00008240239,0.0004604506,0.001879753,0.0001726043,0.06087368],"genre_scores_gemma":[0.9796005,0.0103898,0.005171079,0.0001045477,0.00004092896,0.00006438322,0.0007991804,0.000009606196,0.003819975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005813215,"threshold_uncertainty_score":0.006172895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243811220197676,"score_gpt":0.2746760642475544,"score_spread":0.2622379520455776,"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."}}