{"id":"W2890128393","doi":"10.1145/3372802","title":"The Sorry State of TLS Security in Enterprise Interception Appliances","year":2020,"lang":"en","type":"preprint","venue":"Digital Threats Research and Practice","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Transport Layer Security; Downgrade; Network security; Malware; Web application security; Man-in-the-middle attack; Encryption; Computer network; Database; World Wide Web; Web service; Web development","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001599282,0.000391902,0.0004299341,0.001737959,0.0009009495,0.002082743,0.001021423,0.000938962,0.001176823],"category_scores_gemma":[0.003270033,0.0003797701,0.0005373873,0.001555716,0.001923807,0.003702721,0.0009642407,0.001259727,0.0004064615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740325,"about_ca_system_score_gemma":0.001064718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262599,"about_ca_topic_score_gemma":0.005420178,"domain_scores_codex":[0.9982344,0.000301126,0.00006501484,0.0002693243,0.0008089303,0.0003212235],"domain_scores_gemma":[0.9962852,0.001081276,0.0006424946,0.0009480846,0.00090412,0.0001387456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000685004,0.0007713423,0.4635964,0.0004873672,0.0002858664,0.002549959,0.00585882,0.2136007,0.07341886,0.06002618,0.006949027,0.1717704],"study_design_scores_gemma":[0.00003004574,0.0005841773,0.3043018,0.00025138,0.000166488,0.001920307,0.004776507,0.6059692,0.04110714,0.02360782,0.01712845,0.000156722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551359,0.0002787024,0.03533027,0.0003880868,0.00001207208,0.00008998995,0.000230458,0.001231245,0.007303281],"genre_scores_gemma":[0.9913771,0.0001642249,0.006883305,0.000052633,0.0000077476,0.00003168108,0.0002090678,0.0001195158,0.001154672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006262599,"threshold_uncertainty_score":0.01262695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0965448298557313,"score_gpt":0.3915280326285037,"score_spread":0.2949832027727724,"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."}}