{"id":"W2545525312","doi":"10.1109/passat/socialcom.2011.199","title":"An Analysis of Black-Box Web Application Security Scanners against Stored SQL Injection","year":2011,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"SQL injection; Computer science; Black box; SQL; Login; Database; Exploit; Web application; Vulnerability (computing); Computer security; World Wide Web; Artificial intelligence; Query by Example","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":[0.0025413,0.0006042813,0.0005861374,0.002939912,0.0003806103,0.0007385007,0.0005781185,0.0008069155,0.0009176483],"category_scores_gemma":[0.01643915,0.0003271118,0.0006095992,0.001081755,0.0006643561,0.001409484,0.000536168,0.0003982525,0.0003426291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616494,"about_ca_system_score_gemma":0.0005915733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152442,"about_ca_topic_score_gemma":0.00151581,"domain_scores_codex":[0.9960982,0.0009037258,0.000328088,0.0004817003,0.001851335,0.0003369049],"domain_scores_gemma":[0.95125,0.0311498,0.00545555,0.004190861,0.007239758,0.0007140843],"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":[0.00487753,0.003068499,0.4301431,0.0009402191,0.0006476166,0.003807216,0.002465763,0.05988014,0.2627108,0.003148987,0.004991345,0.2233188],"study_design_scores_gemma":[0.00009569585,0.003664269,0.2710624,0.00006766671,0.0003197704,0.002701137,0.0005401283,0.5655805,0.1526473,0.001167872,0.002018178,0.0001352151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943874,0.00009237487,0.003601528,0.00003348546,0.000007816144,0.0000693424,0.0001566538,0.0009592876,0.0006920228],"genre_scores_gemma":[0.9929871,0.00003593121,0.005957291,0.00002316139,0.000004259006,0.00002915567,0.0004263036,0.00006277322,0.000474008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002939912,"threshold_uncertainty_score":0.01343983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496890538443615,"score_gpt":0.2513586340762636,"score_spread":0.2363897286918275,"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."}}