{"id":"W4285412722","doi":"10.5220/0011328900003283","title":"HTTPFuzz: Web Server Fingerprinting with HTTP Request Fuzzing","year":2022,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Fuzz testing; World Wide Web; Web server; Database; Computer security; Operating system; The Internet; Software","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":[0.001404744,0.0008199841,0.0009735567,0.001998689,0.0007223172,0.001324791,0.001628809,0.0009825736,0.003411412],"category_scores_gemma":[0.005078757,0.0006154675,0.0005503994,0.001070632,0.0007003259,0.002432588,0.001860889,0.00112683,0.001266649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185825,"about_ca_system_score_gemma":0.0007710518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430844,"about_ca_topic_score_gemma":0.001695189,"domain_scores_codex":[0.9978729,0.0003518324,0.0001157409,0.0004155544,0.0009734105,0.0002705583],"domain_scores_gemma":[0.9967688,0.0008771865,0.0002919513,0.001564883,0.0003475874,0.0001495819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002838149,0.0007191752,0.02596053,0.0001576247,0.0002626073,0.000655695,0.0003132348,0.03540874,0.1322471,0.01644952,0.01493899,0.7700486],"study_design_scores_gemma":[0.00007692513,0.0002647007,0.00676216,0.00002324426,0.00007293356,0.0007128093,0.00007103178,0.8240076,0.1492922,0.01401111,0.004626772,0.00007856108],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1635759,0.000308885,0.7652884,0.000259234,0.0002413743,0.0002017177,0.0006371262,0.0662365,0.003250828],"genre_scores_gemma":[0.8674415,0.00006820947,0.1266795,0.000117752,0.00007360672,0.00008079569,0.0006032361,0.001007274,0.003927993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003411412,"threshold_uncertainty_score":0.01141232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083833211363908,"score_gpt":0.2119240648930104,"score_spread":0.2010857327793713,"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."}}