{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000584854,0.0001355374,0.0001383451,0.0001367061,0.0001425484,0.0003893625,0.0005276758,0.00006847919,0.00005100426],"category_scores_gemma":[0.00006656841,0.0001290228,0.00006285892,0.0005777208,0.00005179007,0.003591913,0.0001918457,0.0001473005,0.0002394389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000594092,"about_ca_system_score_gemma":0.000148016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123068,"about_ca_topic_score_gemma":0.00006363461,"domain_scores_codex":[0.9985677,0.00005428567,0.0004601232,0.0001375565,0.0004959411,0.0002844056],"domain_scores_gemma":[0.9987468,0.00003200538,0.0001728178,0.0004600626,0.0003835269,0.0002048096],"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":[0.00001464045,0.00009174881,0.00289934,0.00002557722,0.00002669853,0.000005039083,0.04004716,0.00003435939,0.000006518153,0.8815463,0.05705122,0.01825139],"study_design_scores_gemma":[0.003393482,0.000271742,0.002823286,0.00002322299,0.00001700041,0.000113351,0.008134263,0.04623086,0.0007887217,0.135599,0.8018355,0.0007695734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3578337,0.00007732317,0.5851319,0.007073936,0.001641926,0.0007561042,0.0002240366,0.0008437519,0.04641731],"genre_scores_gemma":[0.9932159,0.0000149452,0.005418492,0.001194476,0.00004022512,0.00001952132,0.00007879156,0.000003108379,0.00001454769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7459473,"threshold_uncertainty_score":0.5261396,"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."}}