{"id":"W4381250293","doi":"10.1109/access.2023.3287226","title":"PhishCatcher: Client-Side Defense Against Web Spoofing Attacks Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Hail","keywords":"Computer science; Phishing; Password; Computer security; Spoofing attack; Login; Web page; World Wide Web; Web application security; SQL injection; Web development; The Internet; Search engine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006263389,0.0001885014,0.0001904334,0.0003039574,0.0004533948,0.0007298192,0.001121315,0.0001024563,0.000009480153],"category_scores_gemma":[0.0001071404,0.0001944135,0.0001002746,0.001515447,0.00003225223,0.001329947,0.0003798393,0.0003898451,0.0002136596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008753056,"about_ca_system_score_gemma":0.00006779791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002933335,"about_ca_topic_score_gemma":0.0001113606,"domain_scores_codex":[0.9982723,0.0001264564,0.0002684843,0.0005160766,0.0003544708,0.0004622304],"domain_scores_gemma":[0.9990357,0.0001489707,0.0001564295,0.0004692672,0.00007253602,0.000117106],"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":[0.00007652595,0.000159198,0.2016094,0.0002000617,0.0001688648,0.0007498151,0.004974328,0.3959764,0.1740049,0.0005998678,0.004202807,0.2172779],"study_design_scores_gemma":[0.0004001286,0.00003301378,0.003383553,0.00007108451,0.00001289149,0.00002501874,0.00002758355,0.9742007,0.01423387,0.0004261864,0.006820429,0.0003655566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560894,0.0001061276,0.03890776,0.0002717836,0.002311676,0.0001159907,0.000002250268,0.00103145,0.001163546],"genre_scores_gemma":[0.9975825,0.00007498157,0.001278086,0.0004063614,0.0003638118,0.000008259922,0.000006716026,0.00003050219,0.0002487928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5782243,"threshold_uncertainty_score":0.7927954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0694660670013364,"score_gpt":0.3223275751546221,"score_spread":0.2528615081532857,"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."}}