{"id":"W2050396717","doi":"10.1145/2107581.2107584","title":"Testing and assessing web vulnerability scanners for persistent SQL injection 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":"Concordia University of Edmonton","funders":"","keywords":"SQL injection; Computer science; Login; Vulnerability (computing); Exploit; SQL; Web application; Cross-site scripting; Testbed; Secure coding; Database; Computer security; Web application security; Web page; World Wide Web; Information security; Software security assurance; Query by Example; Web development","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007844848,0.0001254443,0.0001390505,0.00008018658,0.0003255236,0.0002425077,0.0003130066,0.00006198992,0.00001509662],"category_scores_gemma":[0.0003700659,0.0001198357,0.00006331809,0.0002706783,0.0001139657,0.0008270028,0.0001623643,0.0001077889,0.000004929416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007970262,"about_ca_system_score_gemma":0.0000951166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002037731,"about_ca_topic_score_gemma":0.00003223278,"domain_scores_codex":[0.9987743,0.00007380267,0.0002461166,0.0005108647,0.0001536623,0.0002412365],"domain_scores_gemma":[0.9986827,0.0004358596,0.00008945438,0.0004444933,0.0002479802,0.00009947984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000520501,0.0008846784,0.3741799,0.000662395,0.0001481519,0.000002434555,0.02696781,0.0004478559,0.02343751,0.2615302,0.003391134,0.3082958],"study_design_scores_gemma":[0.001310371,0.0007631399,0.1709344,0.00006149694,0.00004753111,0.0001147923,0.00500955,0.7593433,0.008959611,0.04975722,0.002610148,0.001088508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6913475,0.00003212165,0.2898296,0.00040149,0.000166365,0.0004353092,0.000002089131,0.000380448,0.01740498],"genre_scores_gemma":[0.812434,4.551127e-7,0.1871657,0.0001533354,0.00003837878,0.00008869087,7.002867e-7,0.000007003586,0.0001117778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7588954,"threshold_uncertainty_score":0.4886758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09539819187917734,"score_gpt":0.3024152985857622,"score_spread":0.2070171067065849,"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."}}