{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003035442,0.0009669118,0.0006748925,0.001515905,0.0004041506,0.000658942,0.001150721,0.001142733,0.0007863696],"category_scores_gemma":[0.01319191,0.0005673249,0.0004896024,0.0006116815,0.0007206199,0.002013934,0.0009172247,0.0005373601,0.0003993151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006083098,"about_ca_system_score_gemma":0.0006498391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745443,"about_ca_topic_score_gemma":0.001997524,"domain_scores_codex":[0.9972925,0.0008440235,0.0002638685,0.0004936254,0.0008222476,0.0002837999],"domain_scores_gemma":[0.9815621,0.009942457,0.003411726,0.002189283,0.002044343,0.0008502406],"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":[0.002684989,0.007459198,0.3184802,0.0009173545,0.0004873113,0.001332425,0.001702795,0.09285066,0.4103974,0.002123379,0.003454037,0.1581102],"study_design_scores_gemma":[0.0002947089,0.01047318,0.1360693,0.00006467853,0.0001827927,0.001059032,0.0005146642,0.5405847,0.3075955,0.0009105573,0.002070941,0.0001797996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874833,0.00004857789,0.009470738,0.00003379009,0.0000117039,0.0001802802,0.0001579715,0.002245476,0.0003682939],"genre_scores_gemma":[0.978328,0.00004479068,0.02059414,0.00002899523,0.000005105287,0.000133974,0.000402652,0.00008577282,0.0003764396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003035442,"threshold_uncertainty_score":0.01605314,"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."}}