{"id":"W4379528880","doi":"10.1109/ecrime57793.2022.10142092","title":"Leaky Kits: The Increased Risk of Data Exposure from Phishing Kits","year":2022,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Phishing; Plaintext; Computer science; Password; Computer security; World Wide Web; Encryption; 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":[0.003706857,0.0006404134,0.0005160811,0.004528187,0.0007523649,0.002391123,0.0007868118,0.001678099,0.002791829],"category_scores_gemma":[0.03842973,0.0005634326,0.0005804329,0.002675594,0.001479355,0.004660951,0.00351841,0.001843846,0.001227567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005470231,"about_ca_system_score_gemma":0.0005929953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638469,"about_ca_topic_score_gemma":0.001659237,"domain_scores_codex":[0.9911069,0.00211707,0.000774735,0.001521081,0.003835934,0.000644339],"domain_scores_gemma":[0.9290701,0.03123896,0.0190199,0.01319873,0.006039476,0.001432896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004449593,0.0001935871,0.8802558,0.0005322429,0.0003305632,0.002519345,0.003881983,0.002750463,0.008577122,0.002062406,0.005592383,0.09285918],"study_design_scores_gemma":[0.00003879118,0.000838818,0.8677216,0.0007902302,0.0004895998,0.02168947,0.006891912,0.03930175,0.03086422,0.008529735,0.0225979,0.0002459105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739723,0.001530917,0.01480213,0.001012084,0.00007308703,0.0001773147,0.002290083,0.001351254,0.004790912],"genre_scores_gemma":[0.9893807,0.0004273755,0.007225407,0.000245715,0.00004592244,0.00004398706,0.001215132,0.0001430882,0.001272765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004528187,"threshold_uncertainty_score":0.01960397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549402146721269,"score_gpt":0.2375879356559904,"score_spread":0.2020939141887777,"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."}}