{"id":"W4378981463","doi":"10.18280/ijsse.130215","title":"An Investigation on Vulnerability Analysis of Phishing Attacks and Countermeasures","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Vulnerability (computing); Computer security; Vulnerability assessment; Computer science; Internet privacy; The Internet; Psychology; World Wide Web; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006659,0.0003310844,0.0002598674,0.005367495,0.0006265733,0.001103224,0.0002438817,0.0004335168,0.001239079],"category_scores_gemma":[0.005548657,0.0001416144,0.0004758035,0.002319696,0.0004968873,0.001832917,0.0006681949,0.0005389387,0.0002703969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006787566,"about_ca_system_score_gemma":0.0006831679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164359,"about_ca_topic_score_gemma":0.001549749,"domain_scores_codex":[0.999044,0.0002379653,0.0000633532,0.00009339024,0.000427607,0.0001337243],"domain_scores_gemma":[0.9961133,0.001746073,0.0006939921,0.0003240347,0.0009978345,0.0001248333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003808594,0.000433399,0.4990541,0.001191254,0.000258054,0.00420248,0.01459901,0.0132274,0.03143831,0.03951456,0.005062617,0.3906378],"study_design_scores_gemma":[0.00001820795,0.001635233,0.6877211,0.001012265,0.0004796135,0.009392087,0.02934922,0.1597856,0.03877713,0.02735226,0.04429198,0.0001852972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608278,0.00194223,0.01460035,0.0006113759,0.00003081187,0.0003149087,0.0005013936,0.000240641,0.0209305],"genre_scores_gemma":[0.9935869,0.0007461141,0.003880401,0.00003406996,0.000006674898,0.00003874109,0.0002138504,0.000009311615,0.001483868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005367495,"threshold_uncertainty_score":0.005323827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618647034981497,"score_gpt":0.2607449863715729,"score_spread":0.2445585160217579,"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."}}