{"id":"W1979605461","doi":"10.1109/sere.2013.30","title":"Confeagle: Automated Analysis of Configuration Vulnerabilities in Web Applications","year":2013,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Vulnerability (computing); Usability; Web application; Web application security; Computer security; Secure coding; Cross-site scripting; Web server; Denial-of-service attack; Web service; World Wide Web; The Internet; Web development; Software security assurance; Information security; Operating system; Security service","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":[0.001537164,0.001219805,0.000604292,0.005018697,0.0005346409,0.001114051,0.001118588,0.0008335977,0.001112753],"category_scores_gemma":[0.006837891,0.0005128952,0.0005558594,0.001475476,0.0007852939,0.001961696,0.001629659,0.0006735094,0.000440587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294232,"about_ca_system_score_gemma":0.001305266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004672482,"about_ca_topic_score_gemma":0.005448211,"domain_scores_codex":[0.9984947,0.0002905725,0.0001336714,0.0003806344,0.000547194,0.0001532507],"domain_scores_gemma":[0.9939688,0.002859263,0.000962533,0.001206874,0.0008303818,0.0001721661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006776265,0.0009980042,0.1209741,0.0008871948,0.0004423102,0.002098782,0.002041684,0.06314508,0.08553261,0.004095725,0.02506444,0.6940424],"study_design_scores_gemma":[0.00009104848,0.0004265882,0.05337551,0.0000757587,0.000083911,0.001454388,0.0003832056,0.8622018,0.07068796,0.004409872,0.006679217,0.0001308416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5404347,0.0006406938,0.2643694,0.0003249483,0.00004834492,0.0006432866,0.002992799,0.1869637,0.003582207],"genre_scores_gemma":[0.790288,0.0001833106,0.2031765,0.0001276993,0.00001879126,0.0002069229,0.003092455,0.001605657,0.001300782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005018697,"threshold_uncertainty_score":0.009290516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158782755666369,"score_gpt":0.2622271124417072,"score_spread":0.2506392848850435,"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."}}