| { |
| "url_phishing_kaggle": { |
| "name": "Malicious vs Benign URLs (Kaggle)", |
| "description": "URLs classified as malicious or benign with extracted features", |
| "urls": [ |
| "https://raw.githubusercontent.com/hex-plex/Malicious-URL-Classification/master/url_data.csv" |
| ], |
| "category": "phishing", |
| "samples": 450000, |
| "features": [ |
| "url", |
| "url_length", |
| "hostname_length", |
| "path_length", |
| "fd_length", |
| "tld_count", |
| "params_count", |
| "fragment_count", |
| "suspicious_words", |
| "digits_ratio", |
| "special_chars_ratio", |
| "is_malicious" |
| ], |
| "target": "is_malicious", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:00.496780", |
| "status": "available" |
| }, |
| "phishing_websites_uci": { |
| "name": "UCI Phishing Websites Dataset", |
| "description": "30 features extracted from phishing and legitimate websites", |
| "urls": [ |
| "https://raw.githubusercontent.com/shreyagopal/Phishing-Website-Detection-by-Machine-Learning-Techniques/master/dataset.csv" |
| ], |
| "category": "phishing", |
| "samples": 11055, |
| "features": [ |
| "having_ip", |
| "url_length", |
| "shortening_service", |
| "having_at", |
| "double_slash", |
| "prefix_suffix", |
| "sub_domain", |
| "ssl_final_state", |
| "domain_registration", |
| "favicon", |
| "port", |
| "https_token", |
| "result" |
| ], |
| "target": "result", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:00.843897", |
| "status": "available" |
| }, |
| "malware_pe_features": { |
| "name": "PE Header Malware Features", |
| "description": "Windows PE file features for malware classification", |
| "urls": [ |
| "https://raw.githubusercontent.com/urwithajit9/ClaMP/master/dataset/malware.csv" |
| ], |
| "category": "malware", |
| "samples": 4500, |
| "features": [ |
| "md5", |
| "file_size", |
| "e_lfanew", |
| "machine", |
| "sections", |
| "characteristics", |
| "timestamp", |
| "entry_point", |
| "image_base", |
| "subsystem", |
| "dll_characteristics", |
| "size_of_code", |
| "size_of_init_data", |
| "size_of_uninit_data", |
| "legitimate" |
| ], |
| "target": "legitimate", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:01.006557", |
| "status": "available" |
| }, |
| "android_malware_drebin": { |
| "name": "Android Malware (Drebin-style Features)", |
| "description": "Android app permission features for malware detection", |
| "urls": [ |
| "https://raw.githubusercontent.com/cloudhubs/static-malware-analysis/main/Data/android_data.csv" |
| ], |
| "category": "malware", |
| "samples": 15000, |
| "features": [ |
| "pkg_name", |
| "permissions", |
| "api_calls", |
| "intents", |
| "is_malware" |
| ], |
| "target": "is_malware", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:01.484651", |
| "status": "available" |
| }, |
| "cicids2017_ddos": { |
| "name": "CICIDS 2017 DDoS Detection", |
| "description": "Network flows with DDoS and benign traffic", |
| "urls": [ |
| "https://raw.githubusercontent.com/AbdullahTarique/CICIDS-2017-Dataset/main/Sample/Friday-WorkingHours-Afternoon-DDos.csv" |
| ], |
| "category": "intrusion", |
| "samples": 128000, |
| "features": [ |
| "flow_duration", |
| "total_fwd_packets", |
| "total_bwd_packets", |
| "flow_bytes_s", |
| "flow_packets_s", |
| "avg_packet_size", |
| "label" |
| ], |
| "target": "label", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:01.913481", |
| "status": "available" |
| }, |
| "nsl_kdd_train": { |
| "name": "NSL-KDD Network Intrusion", |
| "description": "Improved KDD Cup 99 dataset for network intrusion detection", |
| "urls": [ |
| "https://raw.githubusercontent.com/defcom17/NSL_KDD/master/KDDTrain%2B.txt" |
| ], |
| "category": "intrusion", |
| "samples": 125973, |
| "features": [ |
| "duration", |
| "protocol_type", |
| "service", |
| "flag", |
| "src_bytes", |
| "dst_bytes", |
| "land", |
| "wrong_fragment", |
| "urgent", |
| "hot", |
| "num_failed_logins", |
| "logged_in", |
| "num_compromised", |
| "attack_type" |
| ], |
| "target": "attack_type", |
| "format": "txt", |
| "downloaded_at": "2026-01-29T16:35:02.373654", |
| "status": "available" |
| }, |
| "unsw_nb15": { |
| "name": "UNSW-NB15 Network Dataset", |
| "description": "Modern network intrusion dataset with 9 attack types", |
| "urls": [ |
| "https://raw.githubusercontent.com/jmnwong/UNSW-NB15/master/UNSW-NB15_1.csv" |
| ], |
| "category": "intrusion", |
| "samples": 175000, |
| "features": [ |
| "srcip", |
| "sport", |
| "dstip", |
| "dsport", |
| "proto", |
| "state", |
| "dur", |
| "sbytes", |
| "dbytes", |
| "sttl", |
| "dttl", |
| "attack_cat", |
| "label" |
| ], |
| "target": "label", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:02.792570", |
| "status": "available" |
| }, |
| "ipsum_malicious_ips": { |
| "name": "IPsum Malicious IPs", |
| "description": "Daily updated list of malicious IP addresses", |
| "urls": [ |
| "https://raw.githubusercontent.com/stamparm/ipsum/master/ipsum.txt" |
| ], |
| "category": "threat_intel", |
| "samples": 25000, |
| "features": [ |
| "ip_address", |
| "threat_level" |
| ], |
| "target": "threat_level", |
| "format": "txt", |
| "downloaded_at": "2026-01-29T16:35:03.526227", |
| "status": "available" |
| }, |
| "feodotracker_botnet": { |
| "name": "Feodo Tracker Botnet C2", |
| "description": "Botnet Command & Control server IPs", |
| "urls": [ |
| "https://feodotracker.abuse.ch/downloads/ipblocklist.csv" |
| ], |
| "category": "threat_intel", |
| "samples": 5000, |
| "features": [ |
| "first_seen", |
| "dst_ip", |
| "dst_port", |
| "malware", |
| "status" |
| ], |
| "target": "malware", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:03.907662", |
| "status": "available" |
| }, |
| "urlhaus_malicious": { |
| "name": "URLhaus Malicious URLs", |
| "description": "Database of malware distribution URLs", |
| "urls": [ |
| "https://urlhaus.abuse.ch/downloads/csv_recent/" |
| ], |
| "category": "threat_intel", |
| "samples": 10000, |
| "features": [ |
| "dateadded", |
| "url", |
| "url_status", |
| "threat", |
| "tags", |
| "urlhaus_link" |
| ], |
| "target": "threat", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:04.832782", |
| "status": "available" |
| }, |
| "spambase_uci": { |
| "name": "UCI Spambase", |
| "description": "Email spam classification with word frequencies", |
| "urls": [ |
| "https://archive.ics.uci.edu/ml/machine-learning-databases/spambase/spambase.data" |
| ], |
| "category": "spam", |
| "samples": 4601, |
| "features": [ |
| "word_freq_make", |
| "word_freq_address", |
| "word_freq_all", |
| "char_freq_semicolon", |
| "char_freq_dollar", |
| "capital_run_avg", |
| "capital_run_longest", |
| "capital_run_total", |
| "is_spam" |
| ], |
| "target": "is_spam", |
| "format": "data", |
| "downloaded_at": "2026-01-29T16:35:05.124845", |
| "status": "available" |
| }, |
| "xss_payloads": { |
| "name": "XSS Attack Payloads", |
| "description": "Cross-site scripting attack patterns", |
| "urls": [ |
| "https://raw.githubusercontent.com/payloadbox/xss-payload-list/master/Intruder/xss-payload-list.txt" |
| ], |
| "category": "web_attack", |
| "samples": 5000, |
| "features": [ |
| "payload", |
| "type" |
| ], |
| "target": "type", |
| "format": "txt", |
| "downloaded_at": "2026-01-29T16:35:05.293648", |
| "status": "available" |
| }, |
| "sql_injection_payloads": { |
| "name": "SQL Injection Payloads", |
| "description": "SQL injection attack patterns", |
| "urls": [ |
| "https://raw.githubusercontent.com/payloadbox/sql-injection-payload-list/master/Intruder/SQL-Injection-Payloads/Auth-Bypass.txt", |
| "https://raw.githubusercontent.com/payloadbox/sql-injection-payload-list/master/Intruder/SQL-Injection-Payloads/Error-Based.txt" |
| ], |
| "category": "web_attack", |
| "samples": 3000, |
| "features": [ |
| "payload", |
| "injection_type" |
| ], |
| "target": "injection_type", |
| "format": "txt", |
| "downloaded_at": "2026-01-29T16:35:05.501629", |
| "status": "available" |
| }, |
| "http_csic_requests": { |
| "name": "HTTP CSIC 2010 Dataset", |
| "description": "HTTP requests with web attacks (XSS, SQLi, etc.)", |
| "urls": [ |
| "https://raw.githubusercontent.com/Morzeux/HttpRequestsDataset/master/csic_http/csic_2010_cleaned.csv" |
| ], |
| "category": "web_attack", |
| "samples": 36000, |
| "features": [ |
| "method", |
| "url", |
| "protocol", |
| "content", |
| "is_attack" |
| ], |
| "target": "is_attack", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:05.724490", |
| "status": "available" |
| }, |
| "cryptomining_scripts": { |
| "name": "Cryptomining Script Detection", |
| "description": "JavaScript cryptomining patterns", |
| "urls": [ |
| "https://raw.githubusercontent.com/ArslanKhan-cs/JSMiner/main/data/cryptominer.csv" |
| ], |
| "category": "cryptomining", |
| "samples": 5000, |
| "features": [ |
| "script_hash", |
| "obfuscated", |
| "api_calls", |
| "is_miner" |
| ], |
| "target": "is_miner", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:05.924379", |
| "status": "available" |
| }, |
| "dga_domains": { |
| "name": "DGA Domain Detection", |
| "description": "Domain Generation Algorithm detection dataset", |
| "urls": [ |
| "https://raw.githubusercontent.com/baderj/domain_generation_algorithms/master/dga_db/export/dga_domains_sample.csv" |
| ], |
| "category": "dns", |
| "samples": 50000, |
| "features": [ |
| "domain", |
| "family", |
| "length", |
| "entropy", |
| "consonant_ratio", |
| "is_dga" |
| ], |
| "target": "is_dga", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:06.692993", |
| "status": "available" |
| }, |
| "ssl_certificates": { |
| "name": "SSL Certificate Analysis", |
| "description": "SSL certificate features for malicious detection", |
| "urls": [ |
| "https://raw.githubusercontent.com/JustinGuese/ML-Security-SSL-Phishing/master/data/SSL-phishing.csv" |
| ], |
| "category": "ssl", |
| "samples": 8000, |
| "features": [ |
| "cert_issuer", |
| "cert_validity", |
| "domain_match", |
| "is_ev", |
| "cipher_strength", |
| "is_phishing" |
| ], |
| "target": "is_phishing", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:06.841582", |
| "status": "available" |
| }, |
| "system_logs_hdfs": { |
| "name": "HDFS System Logs", |
| "description": "Hadoop system logs for anomaly detection", |
| "urls": [ |
| "https://raw.githubusercontent.com/logpai/loghub/master/HDFS/HDFS.log_structured.csv" |
| ], |
| "category": "logs", |
| "samples": 11000, |
| "features": [ |
| "timestamp", |
| "level", |
| "component", |
| "content", |
| "event_template" |
| ], |
| "target": "level", |
| "format": "csv", |
| "downloaded_at": "2026-01-29T16:35:07.926689", |
| "status": "available" |
| } |
| } |
