{"id":"W2160138611","doi":"10.1109/csmr.2007.16","title":"Automated Protection of PHP Applications Against SQL-injection Attacks","year":2007,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SQL injection; Computer science; SQL; Confidentiality; Database; Web application; Relational database; Exploit; Code (set theory); Computer security; Query by Example; World Wide Web; Programming language; Search engine","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":[0.001406622,0.0006988285,0.000452727,0.00095062,0.0003830837,0.0008482004,0.0008053953,0.0007699633,0.001041248],"category_scores_gemma":[0.006611345,0.0004979387,0.0003797868,0.0004263747,0.000483572,0.001309368,0.00100378,0.001018356,0.000786756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066816,"about_ca_system_score_gemma":0.0004278166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005712074,"about_ca_topic_score_gemma":0.0004257068,"domain_scores_codex":[0.9984576,0.0004119348,0.000118943,0.000239959,0.0006026656,0.0001690537],"domain_scores_gemma":[0.993091,0.002537232,0.0008102612,0.002749961,0.0006978833,0.0001136264],"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":[0.001180198,0.0006940216,0.01724646,0.0004228295,0.0001103949,0.001211159,0.0008088874,0.01777651,0.4024394,0.002746886,0.005622028,0.5497412],"study_design_scores_gemma":[0.0001251994,0.0005514789,0.01459934,0.00005883145,0.0001138595,0.001839291,0.00009116557,0.4321905,0.5377042,0.005159208,0.007497142,0.00006980893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5417238,0.0005204217,0.3815648,0.0004869859,0.00006549503,0.0004412154,0.000377454,0.06947786,0.00534191],"genre_scores_gemma":[0.9318677,0.0001367107,0.0648668,0.0001214293,0.00002347459,0.00006063436,0.0004183468,0.0008471951,0.001657747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406622,"threshold_uncertainty_score":0.007439017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767341799957494,"score_gpt":0.2800589472672301,"score_spread":0.2623855292676552,"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."}}