Africa · Cyber Threat Intelligence
Collection
A curated collection of machine-learning ready datasets for cybersecurity threat detection, intelligence, and research. • 57 items • Updated
record_id large_string | intelligence_source large_string | intelligence_source_url large_string | country large_string | attack_type large_string | target_technology large_string | agricultural_sector large_string | threat_actor large_string | attack_vector large_string | farms_affected int64 | hectares_affected int64 | farmers_impacted int64 | data_manipulated int64 | data_stolen int64 | system_encrypted int64 | system_disabled int64 | false_alerts_injected int64 | genuine_alerts_suppressed int64 | payment_diverted int64 | price_data_falsified int64 | weather_forecast_poisoned int64 | irrigation_schedules_changed int64 | gps_coordinates_falsified int64 | drone_hijacked int64 | mobile_money_fraud int64 | ussd_sms_phishing int64 | crop_loss_tonnes int64 | livestock_loss_count int64 | financial_loss_usd int64 | input_cost_inflation int64 | food_security_risk int64 | export_contract_cancelled int64 | cooperative_bankruptcy_risk int64 | insurance_payout_manipulated int64 | season_disrupted int64 | device_has_default_creds int64 | device_unpatched int64 | no_encryption_transit int64 | no_authentication int64 | cloud_exposed int64 | mobile_app_sideloaded int64 | sms_ussd_unsecured int64 | legacy_tech int64 | detected int64 | time_to_detect_days int64 | detected_by large_string | incident_reported int64 | system_restored int64 | data_corrected int64 | insurance_claim_filed int64 | extension_services_notified int64 | label int64 | is_synthetic int64 | log_farms float64 | log_hectares float64 | log_farmers float64 | small_scale int64 | medium_scale int64 | large_scale int64 | massive_scale int64 | smallholder_focus int64 | manipulation_score int64 | data_attack int64 | system_attack int64 | alert_attack int64 | mobile_money_fraud.1 int64 | ussd_sms_phishing.1 int64 | financial_attack int64 | phishing_attack int64 | physical_attack_proxy int64 | multi_vector_attack int64 | any_crop_loss int64 | major_crop_loss int64 | catastrophic_crop_loss int64 | any_livestock_loss int64 | any_financial_loss int64 | major_loss int64 | catastrophic_loss int64 | food_security_risk.1 int64 | export_impact int64 | cooperative_risk int64 | insurance_fraud int64 | season_disrupted.1 int64 | input_cost_inflation.1 int64 | impact_score int64 | tech_vulnerability_score int64 | critically_vulnerable int64 | default_passwords int64 | unpatched_firmware int64 | no_encryption int64 | no_auth int64 | exposed_cloud int64 | sideloaded_app int64 | unsecured_sms int64 | legacy_system int64 | was_detected int64 | quick_detection int64 | slow_detection int64 | undetected int64 | incident_reported.1 int64 | system_restored.1 int64 | data_corrected.1 int64 | insurance_claim int64 | extension_notified int64 | effective_response int64 | no_response int64 | detected_by_farm_staff int64 | detected_by_iot int64 | detected_by_price int64 | detected_by_researcher int64 | type_iot_manip int64 | type_drone_gps int64 | type_weather_poison int64 | type_supply_chain int64 | type_fintech int64 | type_ransomware int64 | type_price_manip int64 | type_phishing int64 | type_cold_chain int64 | type_irrigation int64 | type_livestock int64 | type_seed_theft int64 | type_warehouse int64 | type_coop_breach int64 | type_pest_alert int64 | type_market_info int64 | type_farm_app int64 | type_erp int64 | type_legit int64 | tech_iot_sensor int64 | tech_drone_gps int64 | tech_irrigation int64 | tech_mobile_app int64 | tech_platform int64 | tech_enterprise int64 | tech_mobile_money int64 | tech_greenhouse int64 | tech_satellite int64 | sector_crop int64 | sector_livestock int64 | sector_cash_crop int64 | sector_processing int64 | sector_finance int64 | sector_cooperative int64 | sector_logistics int64 | sector_inputs int64 | actor_speculator int64 | actor_competitor int64 | actor_ransomware int64 | actor_fraud int64 | actor_insider int64 | actor_hacktivist int64 | actor_state int64 | vector_iot_api int64 | vector_default_creds int64 | vector_phishing_sms int64 | vector_firmware int64 | vector_mobile_app int64 | vector_cloud int64 | vector_gps int64 | vector_wireless int64 | vector_insider int64 | is_west_africa int64 | is_east_africa int64 | is_southern_africa int64 | is_north_africa int64 | high_agtech_country int64 | agtech_threat_score float64 | smallholder_vulnerability_score int64 | resilience_score int64 |
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AGT001501 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | Kenya | iot_sensor_manipulation | satellite_imagery_platform | crop_cereals | fraud_syndicate | physical_device_tamper | 7,691 | 59 | 477 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 864 | 0 | 13,357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 100 | cooperative_manager | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 3.89 | 1.77 | 2.68 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 8 | 5 | 2 |
AGT002586 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Egypt | agri_fintech_fraud | livestock_collar_tracker | crop_cereals | commodity_speculator | default_credentials | 33 | 96 | 5 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 15 | government_extension_officer | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1.52 | 1.98 | 0.7 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9.5 | 5 | 0 |
AGT002653 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | irrigation_system_hijack | agri_erp_system | agri_inputs_seeds_fertiliser | opportunistic_attacker | phishing_sms_ussd | 974 | 8,645 | 2,299 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 8,495 | 66 | 33,583 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | cybersecurity_researcher | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.99 | 3.94 | 3.36 | 0 | 0 | 1 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 23.5 | 5 | 3 |
AGT001055 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | South Africa | precision_farming_ransomware | commodity_price_platform | crop_cereals | ransomware_gang | unpatched_firmware | 85,350 | 13,703 | 401 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 9,861 | 944 | 94,862 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4.93 | 4.14 | 2.6 | 0 | 1 | 1 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 10 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 34 | 5 | -6 |
AGT000705 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Nigeria | phishing_smallholder_farmers | supply_chain_traceability | livestock_dairy | fraud_syndicate | physical_device_tamper | 7,724 | 1,066 | 14,741 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 148 | 55 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3.89 | 3.03 | 4.17 | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 26.5 | 11 | -6 |
AGT000106 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Ethiopia | iot_sensor_manipulation | cooperative_database | horticulture_vegetables | opportunistic_attacker | unpatched_firmware | 112 | 2,435 | 262 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 190 | 279 | 36,117 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.05 | 3.39 | 2.42 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 18.5 | 5 | -6 |
AGT000589 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Cote d'Ivoire | drone_gps_spoofing | irrigation_controller | agri_inputs_seeds_fertiliser | agri_supplies_competitor | insider_access | 107 | 95,637 | 407 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 731 | 0 | 15,764 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.03 | 4.98 | 2.61 | 0 | 1 | 1 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 15.5 | 7 | -6 |
AGT002468 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Kenya | commodity_price_manipulation | weather_station_iot | livestock_beef_poultry | opportunistic_attacker | supply_chain_software | 23,829 | 8 | 373 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 61 | 41 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4.38 | 0.9 | 2.57 | 0 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 17.5 | 9 | -6 |
AGT002413 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Egypt | commodity_price_manipulation | cooperative_database | floriculture | fraud_syndicate | insider_access | 5 | 2 | 132 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9,314 | 10 | 74,328 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0.7 | 0.3 | 2.12 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 22 | 0 | -4 |
AGT001600 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | South Africa | weather_data_poisoning | supply_chain_traceability | livestock_beef_poultry | commodity_speculator | phishing_sms_ussd | 2,601 | 7 | 11,625 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 403 | 575 | 8,878 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | insurance_adjuster | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3.42 | 0.85 | 4.07 | 0 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 25 | 14 | 5 |
AGT002464 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | South Africa | iot_sensor_manipulation | livestock_collar_tracker | agro_processing | cooperative_rival | supply_chain_software | 20 | 46 | 26 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 8 | 90,758 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | market_price_discrepancy | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1.3 | 1.66 | 1.41 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 30 | 0 | 5 |
AGT000228 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Nigeria | weather_data_poisoning | cooperative_database | horticulture_vegetables | cooperative_rival | phishing_sms_ussd | 69 | 529 | 1,723 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 302 | 30 | 610,168 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 22 | cybersecurity_researcher | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1.84 | 2.72 | 3.24 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 14 | 7 | 4 |
AGT000915 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Kenya | farm_management_app_exploit | mobile_money_input_payment | agri_inputs_seeds_fertiliser | hacktivist_food_security | exposed_iot_api | 7 | 94,065 | 354 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.85 | 4.97 | 2.55 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 17 | 6 | -6 |
AGT000794 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | warehouse_management_exploit | soil_moisture_sensor | horticulture_vegetables | ransomware_gang | insider_access | 3,022 | 10 | 89 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 844 | 49 | 4,946 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | market_price_discrepancy | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 3.48 | 1 | 1.95 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 5 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 25 | 5 | 3 |
AGT003021 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Tanzania | phishing_smallholder_farmers | warehouse_iot_system | tea_sugar | hacktivist_food_security | wireless_jamming | 98 | 42,210 | 10 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4,747 | 824 | 4,502 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | market_price_discrepancy | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1.99 | 4.63 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 3 |
AGT003543 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | Ethiopia | agri_fintech_fraud | mobile_money_input_payment | agri_finance_insurance | hacktivist_food_security | wireless_jamming | 43,640 | 90,975 | 42,473 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 8,063 | 8 | 42,606 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 99 | cooperative_manager | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4.64 | 4.96 | 4.63 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 22.5 | 13 | 0 |
AGT001073 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Ethiopia | iot_sensor_manipulation | gps_tractor_autosteer | agro_processing | opportunistic_attacker | unpatched_firmware | 785 | 1,381 | 1,009 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 4,201 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | cooperative_manager | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.89 | 3.14 | 3 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 9 | 3 |
AGT003351 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | drone_gps_spoofing | soil_moisture_sensor | agri_finance_insurance | commodity_speculator | supply_chain_software | 41 | 2 | 33,530 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8,130 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1.61 | 0.3 | 4.53 | 0 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 27 | 7 | -6 |
AGT001744 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | Nigeria | weather_data_poisoning | cooperative_database | crop_cereals | fraud_syndicate | default_credentials | 34,760 | 3,827 | 49 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 856 | 0 | 9,924,070 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 22 | farm_staff | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 4.54 | 3.58 | 1.69 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 11 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 26.5 | 5 | 0 |
AGT001084 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Kenya | pest_disease_alert_spoofing | irrigation_controller | livestock_beef_poultry | fraud_syndicate | phishing_sms_ussd | 100 | 9 | 4,765 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 9,531 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 82 | farm_staff | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0.95 | 3.68 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 15 | 7 | 0 |
AGT000926 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | South Africa | cooperative_database_breach | gps_tractor_autosteer | cotton_tobacco | ransomware_gang | phishing_sms_ussd | 7 | 6,870 | 13,877 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 987 | 936 | 70,640 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.85 | 3.84 | 4.14 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 9 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 21.5 | 5 | -6 |
AGT003049 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Senegal | agri_fintech_fraud | agricultural_drone | horticulture_vegetables | commodity_speculator | unpatched_firmware | 9 | 26 | 12,199 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 456 | 0 | 5,382 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.95 | 1.41 | 4.09 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 19 | 7 | -6 |
AGT001117 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | South Africa | agri_fintech_fraud | mobile_money_input_payment | cash_crops_cocoa_coffee | unknown | unpatched_firmware | 5 | 79,881 | 81 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 9 | 934 | 777,021 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.7 | 4.9 | 1.91 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 15 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 30.5 | 7 | -6 |
AGT000642 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Tanzania | agri_fintech_fraud | cold_chain_monitor | horticulture_vegetables | unknown | default_credentials | 5,632 | 30 | 28 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 911 | 545 | 47,550 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3.75 | 1.48 | 1.45 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 7 | -6 |
AGT004767 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Uganda | commodity_price_manipulation | agricultural_drone | agri_inputs_seeds_fertiliser | unknown | phishing_sms_ussd | 9,844 | 72 | 46,752 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 487 | 97,696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3.99 | 1.86 | 4.67 | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 7 | -6 |
AGT000501 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Tanzania | seed_genetic_data_theft | silage_monitor_sensor | cooperative_union | unknown | unpatched_firmware | 10 | 10 | 26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 133 | 0 | 2,239,596 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1.41 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 2 | -6 |
AGT004066 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Nigeria | agri_erp_compromise | farm_management_app | crop_cereals | unknown | phishing_sms_ussd | 1 | 4 | 46,496 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 872 | 1 | 639,904 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 165 | cybersecurity_researcher | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0.6 | 4.67 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 25 | 2 | 2 |
AGT000333 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | Uganda | phishing_smallholder_farmers | warehouse_iot_system | livestock_dairy | ransomware_gang | default_credentials | 797 | 9,230 | 24 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 8 | 91 | 49,002 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.9 | 3.97 | 1.38 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | -6 |
AGT004684 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Nigeria | irrigation_system_hijack | silage_monitor_sensor | agro_processing | ransomware_gang | supply_chain_software | 86 | 83,806 | 302 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 | 0 | 3,123 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1.93 | 4.92 | 2.48 | 0 | 1 | 0 | 0 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 18 | 5 | -4 |
AGT000486 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Ghana | supply_chain_platform_hack | soil_moisture_sensor | horticulture_vegetables | unknown | unpatched_firmware | 93,306 | 43,072 | 289 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 2,788,737 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 4.97 | 4.63 | 2.46 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 20 | 5 | -4 |
AGT001962 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | South Africa | market_information_platform_hack | mobile_money_input_payment | livestock_beef_poultry | insider_farm_employee | gps_spoofing | 3 | 5 | 48,003 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 738 | 0 | 63,367 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0.48 | 0.7 | 4.68 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 4 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 21.5 | 9 | -4 |
AGT000393 | GSMA AgriTech Africa Report 2024 | https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/ | Rwanda | agri_fintech_fraud | satellite_imagery_platform | cash_crops_cocoa_coffee | fraud_syndicate | phishing_sms_ussd | 70 | 1,354 | 118 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7,447 | 4 | 53,440 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 36 | iot_anomaly | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1.85 | 3.13 | 2.07 | 0 | 1 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 10 | 3 |
AGT004842 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | Nigeria | agri_fintech_fraud | soil_moisture_sensor | agro_processing | ransomware_gang | cloud_misconfiguration | 39,914 | 7,906 | 3,499 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 2,299 | 408 | 9,644,900 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 38 | insurance_adjuster | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 4.6 | 3.9 | 3.54 | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 24.5 | 8 | 2 |
AGT004866 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Morocco | supply_chain_platform_hack | agri_fintech_app | crop_cereals | agri_supplies_competitor | unpatched_firmware | 4 | 48,548 | 3,595 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 956 | 10 | 766,507 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.6 | 4.69 | 3.56 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 2 | -6 |
AGT001755 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Zimbabwe | pest_disease_alert_spoofing | agri_fintech_app | crop_cereals | commodity_speculator | cloud_misconfiguration | 60,440 | 216 | 976 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 599 | 687 | 444,080 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4.78 | 2.33 | 2.99 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 29.5 | 5 | -6 |
AGT002515 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Rwanda | commodity_price_manipulation | farm_management_app | horticulture_vegetables | opportunistic_attacker | physical_device_tamper | 3 | 9 | 1,023 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 10 | 97 | 441,270 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.48 | 0.95 | 3.01 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 12 | -6 |
AGT003585 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Nigeria | irrigation_system_hijack | farm_management_app | floriculture | agri_supplies_competitor | default_credentials | 5,138 | 61,277 | 11,789 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 11 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 4 | iot_anomaly | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 3.71 | 4.79 | 4.07 | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 10 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 28 | 12 | 5 |
AGT004315 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Mozambique | supply_chain_platform_hack | weather_station_iot | horticulture_vegetables | fraud_syndicate | man_in_the_middle | 68,719 | 13 | 147 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 102 | 63 | 1,358,965 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4.84 | 1.11 | 2.17 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 6 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 9 | -6 |
AGT004966 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Egypt | phishing_smallholder_farmers | greenhouse_automation | agro_processing | hacktivist_food_security | exposed_iot_api | 68 | 38 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 2,921 | 117 | 9,940,238 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 4 | cybersecurity_researcher | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1.83 | 1.58 | 0.95 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 12 | 7 |
AGT002099 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | Egypt | agri_fintech_fraud | cold_chain_monitor | horticulture_vegetables | commodity_speculator | physical_device_tamper | 76,197 | 39,735 | 21 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4,051 | 0 | 5,035,675 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4.88 | 4.6 | 1.32 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 24.5 | 5 | -6 |
AGT003599 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Madagascar | supply_chain_platform_hack | satellite_imagery_platform | tea_sugar | insider_farm_employee | supply_chain_software | 10 | 11 | 423 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,651 | 10 | 72,973 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1.04 | 2.63 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 11.5 | 9 | -6 |
AGT004121 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Senegal | agri_fintech_fraud | soil_moisture_sensor | livestock_dairy | cooperative_rival | unpatched_firmware | 5,377 | 74,282 | 4,802 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | 543,669 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3.73 | 4.87 | 3.68 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 21.5 | 8 | -4 |
AGT000029 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | South Africa | supply_chain_platform_hack | weather_station_iot | horticulture_vegetables | commodity_speculator | exposed_iot_api | 528 | 75,308 | 30 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 27 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 10 | government_extension_officer | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 2.72 | 4.88 | 1.48 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 9 | 5 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 22.5 | 9 | 2 |
AGT000065 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Uganda | warehouse_management_exploit | mobile_money_input_payment | cooperative_union | unknown | cloud_misconfiguration | 659 | 32 | 48 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1,833 | 72 | 2,194 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.82 | 1.51 | 1.68 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 10 | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 2 | -6 |
AGT000838 | CISA Food and Ag Sector Cyber Threat Assessment | https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors/food-and-agriculture-sector | South Africa | precision_farming_ransomware | ussd_market_info_service | agro_processing | cooperative_rival | fake_mobile_app | 5,336 | 2,933 | 226 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 73 | 66,144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3.73 | 3.47 | 2.35 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 11 | 5 | -6 |
AGT003906 | FAO Digital Agriculture Report 2024 | https://www.fao.org/publications | Ethiopia | cooperative_database_breach | satellite_imagery_platform | crop_cereals | state_sponsored_apt | exposed_iot_api | 692 | 64 | 420 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 452 | 0 | 10,368 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 2 | market_price_discrepancy | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.84 | 1.81 | 2.62 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 10 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 21 | 10 | 3 |
AGT003773 | IBM X-Force Threat Intelligence Index 2024 | https://www.ibm.com/security/x-force/threat-intelligence-index | Madagascar | phishing_smallholder_farmers | commodity_price_platform | crop_cereals | commodity_speculator | mobile_app_exploit | 805 | 9 | 4,654 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 67 | 0 | 8,611,356 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2.91 | 0.95 | 3.67 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 13 | -6 |
Part of the Africa Cyber Threat Intelligence collection by electricsheepafrica.
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/africa-agricultural-technology-cyber-threats")
This dataset models cyber threats against agricultural technology and digital food systems across Africa. Agriculture employs 60% of the African workforce and contributes 15-20% of GDP, yet agtech security investment is virtually non-existent. As precision farming, mobile-based farm management, agri-fintech, and supply chain traceability platforms proliferate, they create novel attack surfaces with direct consequences for food security and rural livelihoods.
Africa-specific patterns captured:
| Type | Description |
|---|---|
iot_sensor_manipulation |
Tampering soil/weather sensors |
drone_gps_spoofing |
GPS spoofing agricultural drones |
weather_data_poisoning |
Poisoning weather/insurance data |
supply_chain_platform_hack |
Hacking traceability platforms |
agri_fintech_fraud |
Fraud against agri-fintech platforms |
precision_farming_ransomware |
Ransomware on precision farming systems |
commodity_price_manipulation |
Manipulating mobile price platforms |
phishing_smallholder_farmers |
Phishing farmers via SMS/USSD |
cold_chain_iot_compromise |
Compromising cold chain monitors |
irrigation_system_hijack |
Hijacking automated irrigation |
livestock_tracking_spoofing |
Spoofing livestock GPS collars |
seed_genetic_data_theft |
Stealing seed/genetic IP |
warehouse_management_exploit |
Exploiting warehouse IoT |
cooperative_database_breach |
Breaching farmer cooperatives |
pest_disease_alert_spoofing |
Fake pest/disease alerts |
market_information_platform_hack |
Hacking USSD/SMS market info |
farm_management_app_exploit |
Exploiting farm management apps |
agri_erp_compromise |
Compromising agribusiness ERP |
| Technology | African Context |
|---|---|
soil_moisture_sensor |
Low-cost Chinese sensors, default passwords |
agricultural_drone |
Drone spraying services, GPS-dependent |
irrigation_controller |
Drip irrigation automation (Morocco/Egypt) |
farm_management_app |
Mobile-first smallholder advisory |
commodity_price_platform |
USSD/SMS-based market prices |
agri_fintech_app |
Crop insurance, input financing |
supply_chain_traceability |
Cocoa/coffee origin tracking |
ussd_market_info_service |
Feature-phone accessible market info |
mobile_money_input_payment |
M-Pesa for seeds/fertiliser |
cold_chain_monitor |
Horticulture export cold chain |
livestock_collar_tracker |
Cattle rustling prevention |
satellite_imagery_platform |
Precision agriculture analytics |
agri_erp_system |
Commercial farm management |
| Column | Type | Description |
|---|---|---|
record_id |
str | Unique identifier |
country |
str | African country (20 countries) |
attack_type |
str | Attack type or "none" |
target_technology |
str | Targeted agtech system |
agricultural_sector |
str | Affected sector |
threat_actor |
str | Threat actor type |
attack_vector |
str | Initial access vector |
farms_affected |
int64 | Farms affected |
hectares_affected |
int64 | Hectares affected |
farmers_impacted |
int64 | Farmers impacted |
data_manipulated |
int64 | 1 if data manipulated |
data_stolen |
int64 | 1 if data stolen |
system_encrypted |
int64 | 1 if system encrypted |
system_disabled |
int64 | 1 if system disabled |
false_alerts_injected |
int64 | 1 if false alerts |
genuine_alerts_suppressed |
int64 | 1 if alerts suppressed |
payment_diverted |
int64 | 1 if payments diverted |
price_data_falsified |
int64 | 1 if prices falsified |
weather_forecast_poisoned |
int64 | 1 if weather data poisoned |
irrigation_schedules_changed |
int64 | 1 if irrigation changed |
gps_coordinates_falsified |
int64 | 1 if GPS falsified |
drone_hijacked |
int64 | 1 if drone hijacked |
mobile_money_fraud |
int64 | 1 if mobile money fraud |
ussd_sms_phishing |
int64 | 1 if USSD/SMS phishing |
crop_loss_tonnes |
int64 | Crop loss in tonnes |
livestock_loss_count |
int64 | Livestock lost |
financial_loss_usd |
int64 | Financial loss USD |
input_cost_inflation |
int64 | 1 if input costs inflated |
food_security_risk |
int64 | 1 if food security at risk |
export_contract_cancelled |
int64 | 1 if export cancelled |
cooperative_bankruptcy_risk |
int64 | 1 if coop at risk |
insurance_payout_manipulated |
int64 | 1 if insurance manipulated |
season_disrupted |
int64 | 1 if growing season disrupted |
device_has_default_creds |
int64 | 1 if default credentials |
device_unpatched |
int64 | 1 if unpatched |
no_encryption_transit |
int64 | 1 if no encryption |
no_authentication |
int64 | 1 if no auth |
cloud_exposed |
int64 | 1 if cloud exposed |
mobile_app_sideloaded |
int64 | 1 if app sideloaded |
sms_ussd_unsecured |
int64 | 1 if SMS/USSD unsecured |
legacy_tech |
int64 | 1 if legacy technology |
detected |
int64 | 1 if detected |
time_to_detect_days |
int64 | Days to detection |
detected_by |
str | Detection source |
incident_reported |
int64 | 1 if reported |
system_restored |
int64 | 1 if system restored |
data_corrected |
int64 | 1 if data corrected |
insurance_claim_filed |
int64 | 1 if insurance claim filed |
extension_services_notified |
int64 | 1 if extension notified |
label |
int64 | 1 = attack, 0 = legitimate |
is_synthetic |
int64 | 1 = synthetic data |
| Feature | Description |
|---|---|
manipulation_score / multi_vector_attack / physical_attack_proxy |
Attack characteristics |
impact_score / food_security_risk / catastrophic_crop_loss |
Impact severity |
tech_vulnerability_score / critically_vulnerable |
Technology risk |
smallholder_focus / phishing_attack / ussd_sms_phishing |
Smallholder targeting |
was_detected / quick_detection / effective_response |
Detection |
| Attack type one-hot (18 types) | type_iot_manip, type_drone_gps, etc. |
| Technology category | tech_iot_sensor, tech_drone_gps, tech_mobile_money, etc. |
| Sector | sector_crop, sector_livestock, sector_cash_crop, etc. |
| Attack vector | vector_iot_api, vector_phishing_sms, vector_gps |
| Actor | actor_speculator, actor_fraud, actor_insider |
| Regional flags | is_west_africa, high_agtech_country, etc. |
agtech_threat_score |
Composite agtech threat severity |
smallholder_vulnerability_score |
Smallholder vulnerability score |
resilience_score |
Resilience/recovery score |
The following real-world sources informed the synthetic attack samples in this dataset:
@misc{electricsheepafrica2026agtech,
title = {Agricultural Technology Cyber Threats (Africa)},
author = {Electric Sheep Africa},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-agricultural-technology-cyber-threats}}
}
License: MIT