{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618535,0.0001486104,0.0002770846,0.0005358984,0.00008758644,0.00005274031,0.0009439086,0.0001016102,0.00007027142],"category_scores_gemma":[0.00002107874,0.0001519257,0.0001361359,0.002112882,0.0001675263,0.0007444664,0.0001080774,0.0001124131,0.00003206928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009779675,"about_ca_system_score_gemma":0.0000837939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008978351,"about_ca_topic_score_gemma":0.000846269,"domain_scores_codex":[0.9983237,0.0001383869,0.0004204314,0.0005752891,0.000348296,0.0001939348],"domain_scores_gemma":[0.9978527,0.00004952778,0.0002385765,0.001418072,0.0003119663,0.0001291542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004052262,0.001193643,0.08174551,0.00005552349,0.0005588807,7.445468e-7,0.03507693,0.005228815,0.01835576,0.845979,0.0006366005,0.01112807],"study_design_scores_gemma":[0.0002281613,0.0001193224,0.04734951,0.000002736894,0.000117281,7.571155e-7,0.001476284,0.9227008,0.01681409,0.01045271,0.0004339518,0.0003044573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.655405,0.000007699039,0.3333151,0.00007379456,0.00004163656,0.0002415803,0.000009842252,0.0002847163,0.0106206],"genre_scores_gemma":[0.9883875,0.000005497743,0.01127123,0.0001605428,0.00002576765,0.00006764859,0.00003268496,0.000008558599,0.00004054028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9174719,"threshold_uncertainty_score":0.6195349,"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."}}