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 | port large_string | attack_type large_string | target_system large_string | attack_vector large_string | threat_actor large_string | vessel_type large_string | cargo_type large_string | is_ot_attack int64 | is_it_attack int64 | targets_navigation int64 | targets_port_operations int64 | port_operations_disrupted int64 | vessel_operations_disrupted int64 | cargo_delay_hours int64 | financial_loss_usd int64 | data_compromised int64 | safety_risk_created int64 | environmental_risk int64 | supply_chain_disrupted int64 | ransom_demanded int64 | ransom_amount_usd int64 | ransom_paid int64 | linked_to_smuggling int64 | linked_to_piracy int64 | ais_disabled_for_illicit int64 | detected int64 | detection_time_hours int64 | detected_by large_string | incident_response_activated int64 | reported_to_imo int64 | reported_to_national_cert int64 | business_continuity_activated int64 | label int64 | is_synthetic int64 | ot_attack int64 | it_attack int64 | it_ot_convergence int64 | navigation_attack int64 | port_ops_attack int64 | critical_system int64 | any_disruption int64 | major_disruption int64 | significant_delay int64 | severe_delay int64 | any_financial_loss int64 | major_loss int64 | catastrophic_loss int64 | safety_critical int64 | environmental_threat int64 | supply_chain_impact int64 | cascading_impact int64 | ransomware_incident int64 | high_ransom int64 | ransom_paid.1 int64 | crime_nexus int64 | piracy_linked int64 | smuggling_linked int64 | ais_manipulation int64 | was_detected int64 | quick_detection int64 | fast_detection int64 | slow_detection int64 | undetected int64 | ir_activated int64 | regulatory_reported int64 | bcp_activated int64 | response_score int64 | detected_by_soc int64 | detected_by_crew int64 | detected_by_authority int64 | detected_by_automation int64 | type_ransomware int64 | type_phishing int64 | type_ais_spoof int64 | type_gps_spoof int64 | type_scada int64 | type_supply_chain int64 | type_data_breach int64 | type_ecdis int64 | type_port_mgmt int64 | type_ddos int64 | type_insider int64 | type_malware_usb int64 | type_vsat int64 | type_legit int64 | actor_criminal int64 | actor_state int64 | actor_hacktivist int64 | actor_insider int64 | actor_piracy int64 | vessel_container int64 | vessel_tanker int64 | vessel_bulk int64 | vessel_port_only int64 | high_value_cargo int64 | is_west_africa int64 | is_east_africa int64 | is_southern_africa int64 | is_north_africa int64 | is_gulf_of_guinea int64 | is_strategic_chokepoint int64 | maritime_threat_score int64 | economic_impact_score int64 | maritime_resilience_score int64 |
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MARIT001501 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Libya | Lagos/Apapa | ais_spoofing_manipulation | crane_control_system | remote_access_exploit | state_sponsored_apt | oil_tanker | minerals_mining | 1 | 0 | 0 | 1 | 1 | 1 | 199 | 3,761,308 | 0 | 0 | 0 | 0 | 1 | 272,381 | 0 | 1 | 0 | 0 | 1 | 53 | port_authority | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 10 | 4 |
MARIT002586 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Nigeria | Cape Town | port_management_system_hack | ecdis_navigation | rf_signal_manipulation | state_sponsored_apt | bulk_carrier | general_cargo | 1 | 0 | 1 | 0 | 0 | 0 | 145 | 30,509,781 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 206 | port_authority | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 15 | 6 |
MARIT002653 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Ghana | Lagos/Apapa | scada_ot_attack | cargo_tracking_system | physical_access | state_sponsored_apt | bulk_carrier | crude_oil_petroleum | 0 | 1 | 0 | 1 | 1 | 1 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | port_authority | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 9 |
MARIT001055 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Ghana | Dar es Salaam | scada_ot_attack | cargo_tracking_system | network_intrusion | hacktivist | container_ship | agricultural_products | 0 | 1 | 0 | 1 | 0 | 1 | 7 | 32,306,394 | 0 | 0 | 0 | 0 | 1 | 1,616,411 | 0 | 0 | 0 | 1 | 1 | 20 | automated_ids | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 10 | 8 |
MARIT000705 | 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 | Djibouti | Durban | data_breach_cargo_manifest | gps_gnss_system | supply_chain | cybercriminal_group | container_ship | general_cargo | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 39,861 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 22 | crew_report | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 8 | 2 | 8 |
MARIT000106 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Egypt | Durban | ransomware | corporate_it_network | rf_signal_manipulation | hacktivist | lng_carrier | agricultural_products | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 62,873 | 0 | 0 | 1 | 1 | 1 | 11,150,383 | 0 | 0 | 0 | 1 | 1 | 0 | soc_monitoring | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 5 | 9 |
MARIT000589 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Mozambique | Port Said/Suez | data_breach_cargo_manifest | terminal_operating_system | physical_access | hacktivist | offshore_platform | crude_oil_petroleum | 0 | 0 | 0 | 1 | 1 | 0 | 15 | 654,794 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 5 | -3 |
MARIT002468 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | South Africa | Djibouti | scada_ot_attack | terminal_operating_system | email_phishing | cybercriminal_group | lng_carrier | general_cargo | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,388,651 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 8 | -3 |
MARIT002413 | 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 | Mauritius | Lome | scada_ot_attack | scada_ics_control | email_phishing | hacktivist | container_ship | none_port_only | 1 | 0 | 0 | 0 | 0 | 0 | 120 | 1,460,719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -3 |
MARIT001600 | 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 | Cote d'Ivoire | Port Said/Suez | ddos_attack | corporate_it_network | social_engineering | piracy_linked_group | general_cargo | crude_oil_petroleum | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 647,536 | 1 | 0 | 1 | 1 | 1 | 382,952 | 0 | 0 | 0 | 0 | 1 | 636 | automated_ids | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 4 |
MARIT002464 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Angola | Port Louis | ransomware | cargo_tracking_system | network_intrusion | cybercriminal_group | port_infrastructure_only | crude_oil_petroleum | 0 | 1 | 0 | 1 | 0 | 1 | 15 | 9,146,317 | 1 | 0 | 0 | 0 | 1 | 7,517,151 | 0 | 0 | 0 | 0 | 1 | 0 | crew_report | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 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 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | 9 |
MARIT000228 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Cameroon | Abidjan | data_breach_cargo_manifest | cargo_tracking_system | remote_access_exploit | unknown | general_cargo | general_cargo | 0 | 1 | 0 | 1 | 0 | 1 | 33 | 1,119,712 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | port_authority | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 10 | 4 |
MARIT000915 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Nigeria | Durban | gps_spoofing | cargo_tracking_system | rf_signal_manipulation | cybercriminal_group | container_ship | containers | 0 | 1 | 0 | 1 | 0 | 1 | 460 | 78,961 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 10 | 1 |
MARIT000794 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Nigeria | Lome | ais_spoofing_manipulation | terminal_operating_system | software_vulnerability | unknown | bulk_carrier | none_port_only | 0 | 0 | 0 | 1 | 1 | 0 | 66 | 56,134,283 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 281 | coast_guard | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 15 | 4 |
MARIT003021 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Morocco | Tin Can Island | ais_spoofing_manipulation | port_management_system | network_intrusion | cybercriminal_group | oil_tanker | vehicles_machinery | 0 | 1 | 0 | 1 | 1 | 0 | 11 | 24,549,748 | 0 | 0 | 0 | 1 | 1 | 1,482,749 | 0 | 0 | 0 | 1 | 1 | 18 | coast_guard | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 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 | 7 | 13 | 6 |
MARIT003543 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Kenya | Mombasa | ddos_attack | port_management_system | physical_access | cybercriminal_group | lng_carrier | minerals_mining | 0 | 1 | 0 | 1 | 1 | 0 | 309 | 59,157 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 13 | 7 | -3 |
MARIT001073 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Nigeria | Port Sudan | supply_chain_compromise | vessel_traffic_service | usb_removable_media | cybercriminal_group | bulk_carrier | chemicals | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | vessel_traffic_service | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 |
MARIT003351 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Nigeria | Onne | phishing_spear_phishing | port_management_system | network_intrusion | hacktivist | cruise_ship | crude_oil_petroleum | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | -1 |
MARIT001744 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Egypt | Douala | scada_ot_attack | crane_control_system | usb_removable_media | state_sponsored_apt | fishing_vessel | crude_oil_petroleum | 1 | 0 | 0 | 1 | 1 | 1 | 403 | 70,626 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | vessel_traffic_service | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 7 | 7 |
MARIT001084 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | South Africa | Durban | ais_spoofing_manipulation | cargo_tracking_system | software_vulnerability | state_sponsored_apt | container_ship | general_cargo | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 51,785,474 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 2 | 13 | -1 |
MARIT000926 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Morocco | Lagos/Apapa | ransomware | ecdis_navigation | rf_signal_manipulation | opportunistic_attacker | container_ship | minerals_mining | 1 | 0 | 1 | 0 | 1 | 0 | 5 | 675,997 | 1 | 0 | 0 | 0 | 1 | 261,031 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 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 | 1 | 1 | 2 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 2 | 1 |
MARIT003049 | 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 | Djibouti | Cape Town | scada_ot_attack | cargo_tracking_system | software_vulnerability | competitor_espionage | general_cargo | containers | 0 | 1 | 0 | 1 | 0 | 0 | 56 | 29,948,473 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 0 | 1 | 3 | 12 | -1 |
MARIT001117 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Cameroon | Port Sudan | ransomware | customs_clearance_system | remote_access_exploit | piracy_linked_group | bulk_carrier | vehicles_machinery | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5,204,411 | 0 | 0 | 1 | 0 | 1 | 315,199 | 0 | 0 | 0 | 0 | 1 | 92 | automated_ids | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 2 |
MARIT000642 | 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 | Cote d'Ivoire | Lagos/Apapa | phishing_spear_phishing | terminal_operating_system | rf_signal_manipulation | insider_threat | general_cargo | general_cargo | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 517,859 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | automated_ids | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 7 |
MARIT004767 | 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 | Tanzania | Mombasa | malware_usb_infection | ais_transponder | social_engineering | opportunistic_attacker | offshore_platform | general_cargo | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 133 | soc_monitoring | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 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 | 0 | 0 | 0 | 0 | 8 | 0 | 4 |
MARIT000501 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Tanzania | Durban | ransomware | port_management_system | remote_access_exploit | cybercriminal_group | naval_vessel | containers | 0 | 1 | 0 | 1 | 0 | 1 | 82 | 62,250 | 1 | 1 | 0 | 1 | 1 | 6,634,576 | 0 | 0 | 0 | 0 | 1 | 0 | coast_guard | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 8 | 7 | 7 |
MARIT004066 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Kenya | Durban | phishing_spear_phishing | port_management_system | remote_access_exploit | unknown | general_cargo | crude_oil_petroleum | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 46,224 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 9 | 2 | -3 |
MARIT000333 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | South Africa | Conakry | scada_ot_attack | terminal_operating_system | supply_chain | hacktivist | bulk_carrier | minerals_mining | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 118,048 | 1 | 0 | 0 | 0 | 1 | 63,050 | 1 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | -3 |
MARIT004684 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Tanzania | Port Said/Suez | phishing_spear_phishing | email_system | email_phishing | piracy_linked_group | cruise_ship | containers | 0 | 1 | 0 | 0 | 1 | 0 | 718 | 55,987,076 | 1 | 0 | 0 | 0 | 1 | 329,960 | 1 | 0 | 1 | 0 | 1 | 1 | port_authority | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 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 | 7 | 15 | 7 |
MARIT000486 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Nigeria | Port Said/Suez | ais_spoofing_manipulation | ais_transponder | usb_removable_media | state_sponsored_apt | bulk_carrier | containers | 1 | 0 | 1 | 0 | 0 | 1 | 655 | 349,717 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | -1 |
MARIT001962 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Angola | Luanda | ecdis_navigation_attack | ais_transponder | usb_removable_media | cybercriminal_group | cruise_ship | containers | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 230,777 | 0 | 1 | 1 | 1 | 1 | 9,176,371 | 0 | 0 | 1 | 0 | 1 | 14 | vessel_traffic_service | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 4 | 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 | 1 | 0 | 0 | 0 | 16 | 5 | 6 |
MARIT000393 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Libya | Beira | ais_spoofing_manipulation | port_management_system | software_vulnerability | unknown | container_ship | minerals_mining | 0 | 1 | 0 | 1 | 0 | 1 | 114 | 8,727,275 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 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 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -3 |
MARIT004842 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Namibia | Tin Can Island | scada_ot_attack | port_management_system | software_vulnerability | hacktivist | bulk_carrier | general_cargo | 0 | 1 | 0 | 1 | 0 | 0 | 160 | 23,484 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 54 | port_authority | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 2 |
MARIT004866 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Mozambique | Mombasa | scada_ot_attack | customs_clearance_system | physical_access | competitor_espionage | port_infrastructure_only | containers | 0 | 1 | 0 | 0 | 0 | 1 | 12 | 5,299,405 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 8 | -1 |
MARIT001755 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Kenya | Mombasa | supply_chain_compromise | vessel_traffic_service | remote_access_exploit | insider_threat | fishing_vessel | minerals_mining | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 778,754 | 1 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 13 | 0 | -1 |
MARIT002515 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Mozambique | Mombasa | malware_usb_infection | corporate_it_network | email_phishing | cybercriminal_group | cruise_ship | agricultural_products | 0 | 1 | 0 | 0 | 0 | 0 | 16 | 21,048,526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 121 | crew_report | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 |
MARIT003585 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | South Africa | Tin Can Island | scada_ot_attack | corporate_it_network | supply_chain | hacktivist | cruise_ship | vehicles_machinery | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 73,081,733 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 9 | 10 | -1 |
MARIT004315 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | South Africa | Tanger Med | ransomware | cargo_tracking_system | supply_chain | cybercriminal_group | general_cargo | none_port_only | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2,139,316 | 1 | 0 | 0 | 1 | 1 | 7,965,520 | 1 | 0 | 0 | 0 | 1 | 1 | automated_ids | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 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 | 1 | 0 | 0 | 0 | 2 | 8 | 5 |
MARIT004966 | 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 | Port Louis | ais_spoofing_manipulation | corporate_it_network | supply_chain | opportunistic_attacker | bulk_carrier | crude_oil_petroleum | 0 | 1 | 0 | 0 | 0 | 0 | 18 | 15,066,248 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | vessel_traffic_service | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 10 | 4 |
MARIT002099 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | South Africa | Maputo | scada_ot_attack | terminal_operating_system | social_engineering | unknown | container_ship | general_cargo | 0 | 0 | 0 | 1 | 1 | 0 | 128 | 19,429,203 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 384 | soc_monitoring | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 12 | 0 |
MARIT003599 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Algeria | Port Said/Suez | scada_ot_attack | customs_clearance_system | rf_signal_manipulation | terrorist_group | general_cargo | general_cargo | 0 | 1 | 0 | 0 | 0 | 0 | 21 | 4,762,369 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 633 | vessel_traffic_service | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 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 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | 0 |
MARIT004121 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Morocco | Luanda | ecdis_navigation_attack | scada_ics_control | remote_access_exploit | cybercriminal_group | fishing_vessel | chemicals | 1 | 0 | 0 | 0 | 1 | 1 | 24 | 2,237,273 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 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 | 1 | 0 | 0 | 8 | 8 | 1 |
MARIT000029 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | South Africa | Algiers | ecdis_navigation_attack | email_system | supply_chain | opportunistic_attacker | fishing_vessel | general_cargo | 0 | 1 | 0 | 0 | 0 | 1 | 362 | 0 | 0 | 0 | 0 | 0 | 1 | 1,602,362 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 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 | 0 | 0 | 4 | 5 | 1 |
MARIT000065 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Mozambique | Mombasa | phishing_spear_phishing | terminal_operating_system | supply_chain | state_sponsored_apt | oil_tanker | vehicles_machinery | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 898,625 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 63 | crew_report | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 |
MARIT000838 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Djibouti | Cape Town | gps_spoofing | crane_control_system | supply_chain | opportunistic_attacker | general_cargo | lng_gas | 1 | 0 | 0 | 1 | 0 | 1 | 131 | 601,095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 8 | 4 | -1 |
MARIT003906 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Egypt | Dakar | port_management_system_hack | ais_transponder | email_phishing | unknown | port_infrastructure_only | containers | 1 | 0 | 1 | 0 | 0 | 1 | 681 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 203 | coast_guard | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 12 | 8 | 0 |
MARIT003773 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | South Africa | Maputo | ransomware | cargo_tracking_system | email_phishing | cybercriminal_group | oil_tanker | minerals_mining | 0 | 1 | 0 | 1 | 0 | 1 | 87 | 63,204,891 | 1 | 0 | 0 | 0 | 1 | 15,254,186 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 12 | -3 |
MARIT004635 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Sudan | Onne | malware_usb_infection | ecdis_navigation | email_phishing | cybercriminal_group | container_ship | none_port_only | 1 | 0 | 1 | 0 | 1 | 0 | 8 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | crew_report | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 12 | 0 | 9 |
MARIT003161 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | South Africa | Algiers | supply_chain_compromise | ais_transponder | software_vulnerability | opportunistic_attacker | container_ship | agricultural_products | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 13,163 | 1 | 0 | 0 | 0 | 1 | 2,001,558 | 1 | 1 | 1 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 2 | -1 |
MARIT002659 | 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 | Tanger Med | ais_spoofing_manipulation | ais_transponder | email_phishing | unknown | general_cargo | vehicles_machinery | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 45,275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 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 | 3 | 2 | -1 |
MARIT004615 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Djibouti | Tin Can Island | ddos_attack | port_management_system | network_intrusion | state_sponsored_apt | oil_tanker | vehicles_machinery | 0 | 1 | 0 | 1 | 1 | 1 | 541 | 88,151,920 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 8 | 18 | -3 |
MARIT004628 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Kenya | Lagos/Apapa | phishing_spear_phishing | email_system | remote_access_exploit | competitor_espionage | container_ship | containers | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 31,612,010 | 0 | 1 | 0 | 1 | 1 | 404,554 | 0 | 0 | 0 | 0 | 1 | 20 | coast_guard | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 6 | 13 | 4 |
MARIT002451 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | South Africa | Port Said/Suez | supply_chain_compromise | email_system | email_phishing | hacktivist | container_ship | vehicles_machinery | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 54,524,828 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | soc_monitoring | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 10 | 6 |
MARIT002846 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Kenya | Djibouti | phishing_spear_phishing | gps_gnss_system | usb_removable_media | opportunistic_attacker | oil_tanker | none_port_only | 1 | 0 | 1 | 0 | 0 | 1 | 99 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | soc_monitoring | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 8 | 5 | 5 |
MARIT001144 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Libya | Djibouti | port_management_system_hack | cargo_tracking_system | physical_access | hacktivist | port_infrastructure_only | chemicals | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 25,042 | 0 | 0 | 0 | 0 | 1 | 4,364,013 | 1 | 1 | 0 | 0 | 1 | 121 | vessel_traffic_service | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 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 | 1 | 0 | 0 | 7 | 2 | 6 |
MARIT003078 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Egypt | Djibouti | scada_ot_attack | customs_clearance_system | supply_chain | state_sponsored_apt | container_ship | general_cargo | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 53,489,582 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 13 | -3 |
MARIT001103 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | South Africa | Tema | port_management_system_hack | crane_control_system | network_intrusion | insider_threat | port_infrastructure_only | chemicals | 1 | 0 | 0 | 1 | 0 | 0 | 649 | 659,680 | 0 | 0 | 1 | 0 | 1 | 153,050 | 0 | 1 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 7 | -1 |
MARIT000168 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Namibia | Luanda | phishing_spear_phishing | port_management_system | supply_chain | opportunistic_attacker | fishing_vessel | lng_gas | 0 | 1 | 0 | 1 | 0 | 1 | 19 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | automated_ids | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 9 | 0 | 7 |
MARIT001670 | 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 | Cameroon | Tema | phishing_spear_phishing | scada_ics_control | remote_access_exploit | insider_threat | port_infrastructure_only | containers | 1 | 0 | 0 | 0 | 1 | 0 | 52 | 1,251,925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 |
MARIT002570 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Morocco | Port Said/Suez | malware_usb_infection | scada_ics_control | usb_removable_media | insider_threat | port_infrastructure_only | general_cargo | 1 | 0 | 0 | 0 | 0 | 1 | 132 | 36,614,306 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 236 | external_threat_intel | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 12 | 2 |
MARIT002377 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Sudan | Tema | ransomware | customs_clearance_system | rf_signal_manipulation | hacktivist | offshore_platform | containers | 0 | 1 | 0 | 0 | 1 | 0 | 690 | 0 | 0 | 0 | 0 | 1 | 1 | 10,251,227 | 0 | 0 | 0 | 0 | 1 | 140 | external_threat_intel | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 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 | 1 | 0 | 0 | 0 | 0 | 7 | 8 | 4 |
MARIT004395 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Tanzania | Dar es Salaam | scada_ot_attack | gps_gnss_system | network_intrusion | cybercriminal_group | oil_tanker | containers | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 10,315,633 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 24 | crew_report | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 7 | 10 | 4 |
MARIT004257 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | South Africa | Tanger Med | ecdis_navigation_attack | terminal_operating_system | remote_access_exploit | unknown | general_cargo | crude_oil_petroleum | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 68,928,654 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 132 | automated_ids | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 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 | 1 | 0 | 0 | 0 | 0 | 13 | 6 |
MARIT003862 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Mozambique | Durban | ais_spoofing_manipulation | ais_transponder | network_intrusion | cybercriminal_group | cruise_ship | crude_oil_petroleum | 1 | 0 | 1 | 0 | 0 | 1 | 2 | 51,303,796 | 1 | 1 | 1 | 0 | 1 | 2,144,424 | 0 | 0 | 1 | 1 | 1 | 453 | external_threat_intel | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 18 | 10 | 2 |
MARIT000023 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Algeria | Douala | supply_chain_compromise | port_management_system | email_phishing | cybercriminal_group | fishing_vessel | military_equipment | 0 | 1 | 0 | 1 | 0 | 1 | 649 | 34,359,060 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 18 | -1 |
MARIT002633 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Nigeria | Dakar | vsat_satellite_comm_attack | vsat_communication | usb_removable_media | unknown | port_infrastructure_only | containers | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2,510,959 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 8 | -1 |
MARIT003340 | 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 | Angola | Tin Can Island | supply_chain_compromise | ecdis_navigation | software_vulnerability | cybercriminal_group | container_ship | crude_oil_petroleum | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 3,239,243 | 1 | 0 | 0 | 1 | 1 | 96,873 | 1 | 1 | 0 | 0 | 1 | 13 | automated_ids | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 |
MARIT002215 | Lloyds List African Port Intelligence | https://lloydslist.maritimeintelligence.informa.com/ | Nigeria | Durban | ais_spoofing_manipulation | corporate_it_network | email_phishing | terrorist_group | oil_tanker | containers | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 90,392 | 0 | 0 | 0 | 1 | 1 | 431,802 | 0 | 0 | 0 | 0 | 1 | 17 | crew_report | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 2 |
MARIT003682 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Djibouti | Lagos/Apapa | phishing_spear_phishing | scada_ics_control | remote_access_exploit | insider_threat | port_infrastructure_only | vehicles_machinery | 1 | 0 | 0 | 0 | 1 | 0 | 304 | 5,155,373 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | vessel_traffic_service | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 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 | 1 | 0 | 0 | 0 | 1 | 11 | 13 | 7 |
MARIT004724 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Mozambique | Algiers | ecdis_navigation_attack | customs_clearance_system | social_engineering | cybercriminal_group | port_infrastructure_only | none_port_only | 0 | 1 | 0 | 0 | 1 | 0 | 672 | 3,263,681 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | crew_report | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 5 | 10 | 6 |
MARIT001907 | 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 | Cote d'Ivoire | Mombasa | supply_chain_compromise | cargo_tracking_system | network_intrusion | state_sponsored_apt | lng_carrier | crude_oil_petroleum | 0 | 1 | 0 | 1 | 1 | 0 | 24 | 9,371,339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | crew_report | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 11 |
MARIT000084 | 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 | Ghana | Dakar | supply_chain_compromise | gps_gnss_system | remote_access_exploit | state_sponsored_apt | oil_tanker | none_port_only | 1 | 0 | 1 | 0 | 0 | 0 | 135 | 90,254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 119 | automated_ids | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 4 |
MARIT000227 | IMO Maritime Cyber Risk Guidelines | https://www.imo.org/en/OurWork/Security/Pages/Cyber-security.aspx | Namibia | Port Said/Suez | insider_threat | port_management_system | email_phishing | opportunistic_attacker | general_cargo | containers | 0 | 1 | 0 | 1 | 0 | 1 | 570 | 0 | 1 | 0 | 0 | 1 | 1 | 7,972,698 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 8 | -3 |
MARIT000296 | African Union Blue Economy Strategy | https://au.int/en/blueeconomy | Nigeria | Lagos/Apapa | ais_spoofing_manipulation | port_management_system | physical_access | state_sponsored_apt | container_ship | lng_gas | 0 | 1 | 0 | 1 | 0 | 1 | 406 | 18,681 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 11 | soc_monitoring | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 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 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 10 | 4 |
MARIT001001 | ENISA Transport Threat Landscape 2024 | https://www.enisa.europa.eu/publications | Kenya | Port Said/Suez | malware_usb_infection | fuel_management_system | usb_removable_media | state_sponsored_apt | offshore_platform | containers | 1 | 0 | 0 | 0 | 0 | 0 | 566 | 251,085 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 433 | automated_ids | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 3 | 10 | 2 |
MARIT002138 | 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 | Djibouti | Port Said/Suez | port_management_system_hack | port_management_system | remote_access_exploit | state_sponsored_apt | container_ship | crude_oil_petroleum | 0 | 1 | 0 | 1 | 0 | 0 | 684 | 83,138 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 306 | crew_report | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 10 | 4 |
Part of the Africa Cyber Threat Intelligence collection by electricsheepafrica.
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/africa-maritime-port-cybersecurity")
This dataset models cyber attacks on African maritime infrastructure and port systems. Africa has 38 coastal states, 90+ major commercial ports, and strategic chokepoints (Suez Canal, Gulf of Guinea, Strait of Mozambique) that handle over $1 trillion in annual trade. The 2021 Transnet ransomware attack paralysed South Africa's major ports for weeks, exposing the continent's vulnerability to maritime cyber threats.
Africa-specific patterns captured:
| Type | Description |
|---|---|
ransomware |
Ransomware targeting port/vessel IT systems |
phishing_spear_phishing |
Email attacks on maritime personnel |
ais_spoofing_manipulation |
Spoofing Automatic Identification System |
gps_spoofing |
GPS/GNSS manipulation for navigation |
scada_ot_attack |
Attacks on industrial control systems |
supply_chain_compromise |
Compromising maritime supply chain software |
data_breach_cargo_manifest |
Stealing cargo/shipping data |
ecdis_navigation_attack |
Attacking electronic chart display systems |
port_management_system_hack |
Hacking port management software |
ddos_attack |
DDoS on port digital infrastructure |
insider_threat |
Malicious insider at port/vessel |
malware_usb_infection |
USB-based malware on vessels |
vsat_satellite_comm_attack |
Attacking satellite communications |
| Column | Type | Description |
|---|---|---|
record_id |
str | Unique identifier |
country |
str | African coastal country (19 countries) |
port |
str | Specific African port (25 ports) |
attack_type |
str | Type of maritime cyber attack or "none" |
target_system |
str | System targeted |
attack_vector |
str | Initial access method |
threat_actor |
str | Type of threat actor |
vessel_type |
str | Type of vessel involved |
cargo_type |
str | Type of cargo at risk |
is_ot_attack |
int64 | 1 if OT/ICS system targeted |
is_it_attack |
int64 | 1 if IT system targeted |
targets_navigation |
int64 | 1 if navigation system targeted |
targets_port_operations |
int64 | 1 if port operations targeted |
port_operations_disrupted |
int64 | 1 if port operations disrupted |
vessel_operations_disrupted |
int64 | 1 if vessel ops disrupted |
cargo_delay_hours |
int64 | Hours of cargo delay |
financial_loss_usd |
int64 | Financial loss in USD |
data_compromised |
int64 | 1 if data stolen |
safety_risk_created |
int64 | 1 if safety risk |
environmental_risk |
int64 | 1 if environmental risk |
supply_chain_disrupted |
int64 | 1 if supply chain disrupted |
ransom_demanded |
int64 | 1 if ransom demanded |
ransom_amount_usd |
int64 | Ransom amount in USD |
ransom_paid |
int64 | 1 if ransom paid |
linked_to_smuggling |
int64 | 1 if linked to smuggling |
linked_to_piracy |
int64 | 1 if linked to piracy |
ais_disabled_for_illicit |
int64 | 1 if AIS manipulated |
detected |
int64 | 1 if attack detected |
detection_time_hours |
int64 | Hours until detection |
detected_by |
str | Detection source |
incident_response_activated |
int64 | 1 if IR activated |
reported_to_imo |
int64 | 1 if reported to IMO |
reported_to_national_cert |
int64 | 1 if reported to CERT |
business_continuity_activated |
int64 | 1 if BCP activated |
label |
int64 | 1 = attack, 0 = legitimate |
is_synthetic |
int64 | 1 = synthetic data |
| Feature | Description |
|---|---|
ot_attack / it_attack / it_ot_convergence |
System targeting |
navigation_attack / port_ops_attack / critical_system |
Critical system flags |
any_disruption / major_disruption / cascading_impact |
Operational disruption |
significant_delay / severe_delay |
Cargo delay severity |
any_financial_loss / major_loss / catastrophic_loss |
Financial impact |
safety_critical / environmental_threat / supply_chain_impact |
Risk severity |
ransomware_incident / high_ransom / ransom_paid |
Ransomware metrics |
crime_nexus / piracy_linked / smuggling_linked / ais_manipulation |
Crime nexus |
was_detected / quick_detection / undetected |
Detection metrics |
response_score / regulatory_reported / bcp_activated |
Response effectiveness |
| Attack type one-hot | type_ransomware, type_ais_spoof, type_scada, etc. |
| Threat actor | actor_criminal, actor_state, actor_piracy, etc. |
| Vessel/cargo | vessel_tanker, high_value_cargo, etc. |
| Regional flags | is_gulf_of_guinea, is_strategic_chokepoint, etc. |
maritime_threat_score |
Composite threat severity score |
economic_impact_score |
Composite economic damage score |
maritime_resilience_score |
Composite detection/response score |
The following real-world sources informed the synthetic attack samples in this dataset:
@misc{electricsheepafrica2026maritime,
title = {Maritime & Port Cybersecurity (Africa)},
author = {Electric Sheep Africa},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-maritime-port-cybersecurity}}
}
License: MIT