{"id":"W2055602530","doi":"10.1049/iet-ifs.2014.0540","title":"Watch your constants: malicious Streebog","year":2015,"lang":"en","type":"article","venue":"IET Information Security","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hash function; SHA-2; Collision attack; Computer science; Cryptographic hash function; Checksum; Theoretical computer science; Hash chain; Context (archaeology); Collision resistance; MDC-2; Function (biology); Computer security; Cryptography; Collision; GOST (hash function); Double hashing; Operating system","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":[0.001159038,0.0005949181,0.0005767258,0.0005663262,0.001417212,0.001493867,0.0008548493,0.001474175,0.007386648],"category_scores_gemma":[0.005751067,0.0003541734,0.0003814799,0.0004584005,0.002223885,0.003577708,0.002612235,0.001541192,0.002035761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008236683,"about_ca_system_score_gemma":0.0006026223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009968019,"about_ca_topic_score_gemma":0.00114659,"domain_scores_codex":[0.9982262,0.0004443117,0.00005038536,0.0001979808,0.000781555,0.0002995594],"domain_scores_gemma":[0.998052,0.0007353725,0.0001908394,0.0006546217,0.0002466706,0.0001205337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004315468,0.0002798512,0.01163933,0.0005096996,0.0002316279,0.004399789,0.005507915,0.02547676,0.06647991,0.578288,0.0400516,0.2628201],"study_design_scores_gemma":[0.0002970545,0.001885908,0.004310569,0.000402419,0.0002297275,0.008748786,0.002376736,0.2623977,0.2001349,0.2018834,0.316977,0.0003558476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4466874,0.00354235,0.425225,0.00644629,0.001190336,0.0003934233,0.00031696,0.007548481,0.1086498],"genre_scores_gemma":[0.9516287,0.0003934198,0.02784447,0.0007123892,0.00007572196,0.00004430559,0.0001038835,0.0002933784,0.0189038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007386648,"threshold_uncertainty_score":0.02471083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660453717168044,"score_gpt":0.2919270135594357,"score_spread":0.2553224763877553,"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."}}