{"id":"W2121959582","doi":"10.1109/issre.2011.27","title":"Server Side Detection of Content Sniffing Attacks","year":2011,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; JavaScript; Upload; Sniffing; Operating system; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001336316,0.001034285,0.00118796,0.001756433,0.0004809659,0.001438854,0.001208251,0.001310607,0.00133005],"category_scores_gemma":[0.007640413,0.0004710726,0.0005305738,0.0004955574,0.0005946556,0.001982589,0.001060384,0.001173529,0.001238098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498444,"about_ca_system_score_gemma":0.0009063408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014035,"about_ca_topic_score_gemma":0.0007338336,"domain_scores_codex":[0.9964155,0.0006532604,0.000214395,0.0004326828,0.001990185,0.0002939204],"domain_scores_gemma":[0.989504,0.002847505,0.001752347,0.002813429,0.002723335,0.0003593809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001462581,0.001187382,0.07533535,0.0005031172,0.0003111611,0.003038788,0.001047365,0.03629783,0.4823458,0.007384997,0.007202924,0.3838827],"study_design_scores_gemma":[0.00003886236,0.0004261502,0.0149893,0.00004571792,0.00008869151,0.001604908,0.0001027073,0.6220455,0.3557244,0.001508496,0.003347676,0.00007768089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4450434,0.0003141051,0.4850394,0.0001968999,0.00007030134,0.0006647824,0.0002868258,0.06052419,0.007860144],"genre_scores_gemma":[0.9355954,0.0001013752,0.06073531,0.00008000792,0.00001605035,0.0000748614,0.0003134941,0.0006080923,0.002475431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001756433,"threshold_uncertainty_score":0.007067204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09506084498035064,"score_gpt":0.2472246332399861,"score_spread":0.1521637882596354,"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."}}