Datasets:
record_id large_string | intelligence_source large_string | intelligence_source_url large_string | country large_string | attack_type large_string | ai_model_type large_string | target_sector large_string | language large_string | delivery_channel large_string | ai_generates_text int64 | ai_generates_voice int64 | ai_generates_image int64 | ai_generates_video int64 | ai_generates_code int64 | ai_automates_attack int64 | ai_personalizes_content int64 | uses_local_african_language int64 | multilingual_attack int64 | overcomes_language_barrier int64 | grammar_quality_high int64 | culturally_adapted int64 | realtime_conversation int64 | adapts_to_victim_response int64 | bypasses_email_filters int64 | bypasses_ai_detection int64 | polymorphic_content int64 | scales_automatically int64 | attacker_skill_level large_string | ai_lowers_skill_barrier int64 | uses_dark_web_ai_service int64 | organised_group int64 | part_of_scam_network int64 | messages_sent int64 | success_rate_pct float64 | victims_targeted int64 | victims_compromised int64 | financial_loss_usd int64 | data_stolen int64 | credentials_harvested int64 | malware_deployed int64 | detected int64 | detected_by large_string | ai_detection_used int64 | traditional_detection_failed int64 | reported int64 | label int64 | is_synthetic int64 | ai_modality_count int64 | multimodal_ai int64 | full_spectrum_ai int64 | text_generation int64 | voice_generation int64 | visual_generation int64 | code_generation int64 | ai_capability_score int64 | autonomous_attack int64 | interactive_ai int64 | personalized_attack int64 | language_exploitation_score int64 | local_language_attack int64 | multilingual int64 | language_barrier_overcome int64 | high_quality_language int64 | culturally_targeted int64 | advanced_localisation int64 | evasion_score int64 | bypasses_defenses int64 | advanced_evasion int64 | scalable_attack int64 | low_skill_attacker int64 | skill_barrier_lowered int64 | democratised_cybercrime int64 | dark_web_ai int64 | organised_operation int64 | high_volume_campaign int64 | mass_campaign int64 | high_success_rate int64 | large_target_pool int64 | mass_targeting int64 | effective_attack int64 | log_messages float64 | any_financial_loss int64 | significant_loss int64 | major_loss int64 | data_compromised int64 | credentials_stolen int64 | malware_deployed.1 int64 | impact_score int64 | was_detected int64 | ai_detected int64 | traditional_failed int64 | detection_gap int64 | ai_vs_ai_defense int64 | undetected int64 | was_reported int64 | detected_by_ai_tool int64 | detected_by_user int64 | detected_by_gateway int64 | detected_by_analyst int64 | type_phishing int64 | type_bec int64 | type_vishing int64 | type_deepfake int64 | type_romance int64 | type_social_eng int64 | type_malware_gen int64 | type_vuln_discovery int64 | type_credential int64 | type_disinfo int64 | type_code_exploit int64 | type_chatbot int64 | type_password int64 | type_legit int64 | tool_mainstream_jailbroken int64 | tool_dark_web_llm int64 | tool_open_source int64 | tool_media_gen int64 | channel_email int64 | channel_messaging int64 | channel_social int64 | channel_voice int64 | is_west_africa int64 | is_east_africa int64 | is_southern_africa int64 | is_north_africa int64 | ai_threat_score float64 | democratisation_risk_score int64 | detection_challenge_score int64 |
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AILLM001501 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Nigeria | ai_generated_phishing_email | ChatGPT_jailbroken | financial_institution | Lingala | dating_app | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | medium | 1 | 1 | 0 | 0 | 40,013 | 7.7 | 75 | 5 | 2,224 | 0 | 0 | 0 | 1 | email_security_gateway | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4.6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 0 |
AILLM002586 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Egypt | ai_generated_phishing_email | automated_phishing_toolkit | telecommunications | Swahili | sms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | medium | 1 | 1 | 0 | 1 | 872 | 29.8 | 84 | 25 | 417 | 0 | 1 | 0 | 1 | security_analyst | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 2.94 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 15 | 8 | 12 |
AILLM002653 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Zambia | llm_assisted_bec | custom_fine_tuned_llm | healthcare | Portuguese | whatsapp | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | medium | 1 | 0 | 1 | 1 | 43 | 12.4 | 375 | 46 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 3 | 1 | 0 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1.63 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 19 | 5 | 15 |
AILLM001055 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Nigeria | automated_social_engineering | WormGPT | individual_consumer | French | facebook | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | low | 0 | 0 | 0 | 1 | 93 | 13 | 7 | 1 | 2,673 | 1 | 1 | 0 | 1 | email_security_gateway | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1.97 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 10.5 | 0 | 0 |
AILLM000705 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Ethiopia | ai_malware_generation | WormGPT | media_journalism | Amharic | sms | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | low | 0 | 0 | 0 | 0 | 89 | 15.3 | 194 | 29 | 698,092 | 1 | 0 | 1 | 1 | url_scanning | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1.95 | 1 | 1 | 1 | 1 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 19.5 | 2 | -3 |
AILLM000106 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Uganda | ai_credential_stuffing | open_source_llm | e_commerce | Yoruba | email | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | medium | 1 | 0 | 1 | 0 | 2 | 19.3 | 67 | 12 | 102,042 | 0 | 0 | 0 | 1 | ai_detection_tool | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.3 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 22 | 5 | 15 |
AILLM000589 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Morocco | automated_social_engineering | open_source_llm | individual_consumer | English | instagram | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | low | 1 | 1 | 0 | 1 | 966 | 25 | 3,732 | 933 | 16,390 | 0 | 1 | 0 | 1 | email_security_gateway | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 2.98 | 1 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 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 | 1 | 18 | 12 | 8 |
AILLM002468 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | South Africa | ai_generated_disinformation | ChatGPT_jailbroken | education | Amharic | email | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | medium | 1 | 1 | 1 | 0 | 20,962 | 27.7 | 986 | 273 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 3 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 4.32 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 10 | 8 |
AILLM002413 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Tanzania | llm_assisted_bec | DarkBard | corporate_enterprise | English | email | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | high | 1 | 0 | 0 | 0 | 341 | 16.7 | 4 | 1 | 0 | 1 | 1 | 0 | 0 | undetected | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.53 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 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 | 13 | 3 | 11 |
AILLM001600 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Kenya | ai_password_cracking | FraudGPT | individual_consumer | English | email | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | medium | 1 | 0 | 0 | 0 | 19,548 | 23.2 | 9 | 2 | 88 | 0 | 0 | 0 | 0 | undetected | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 4 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 4.29 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 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 | 0 | 1 | 0 | 0 | 18 | 7 | 11 |
AILLM002464 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Nigeria | ai_generated_phishing_email | WormGPT | corporate_enterprise | Igbo | whatsapp | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | high | 0 | 0 | 0 | 0 | 6,029 | 27.2 | 3,425 | 931 | 438,787 | 0 | 0 | 1 | 0 | undetected | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 3.78 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 2 | 3 |
AILLM000228 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Ghana | automated_social_engineering | open_source_llm | financial_institution | Amharic | video_call | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | low | 0 | 0 | 0 | 0 | 194 | 14.3 | 65 | 9 | 1,916 | 1 | 0 | 1 | 1 | ai_detection_tool | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.29 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 12.5 | 0 | 0 |
AILLM000915 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Ghana | automated_social_engineering | ChatGPT_jailbroken | legal_professional | French | facebook | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | medium | 1 | 1 | 1 | 1 | 1 | 1.6 | 71 | 1 | 39,797 | 0 | 0 | 1 | 0 | undetected | 1 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 1 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8.5 | 6 | 9 |
AILLM000794 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | South Africa | ai_malware_generation | DarkBard | education | Hausa | telegram | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | medium | 1 | 1 | 0 | 0 | 236 | 16.9 | 10 | 1 | 2,189 | 0 | 1 | 1 | 0 | undetected | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 0 | 1 | 4 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.37 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 21.5 | 6 | 8 |
AILLM003021 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | South Africa | deepfake_video_fraud | voice_cloning_api | financial_institution | Arabic | linkedin | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | low | 1 | 1 | 1 | 0 | 10 | 16.5 | 97 | 16 | 20,715 | 0 | 0 | 0 | 0 | undetected | 1 | 1 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 12.5 | 10 | 6 |
AILLM003543 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Nigeria | ai_generated_phishing_email | unknown_ai_tool | corporate_enterprise | Arabic | email | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | medium | 1 | 1 | 1 | 1 | 5 | 6.2 | 2 | 1 | 534 | 0 | 1 | 0 | 0 | undetected | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.7 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16.5 | 8 | 3 |
AILLM001073 | 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 | Morocco | deepfake_video_fraud | WormGPT | media_journalism | Yoruba | sms | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | medium | 0 | 0 | 1 | 0 | 43,262 | 28.9 | 7,167 | 2,071 | 3,682 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 4.64 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 1 | 11 | 4 | 10 |
AILLM003351 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Kenya | ai_voice_cloning_vishing | automated_phishing_toolkit | telecommunications | Hausa | dating_app | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | medium | 1 | 0 | 1 | 0 | 574 | 13.7 | 6 | 1 | 25,926 | 0 | 0 | 0 | 0 | undetected | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.76 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 5 | 6 |
AILLM001744 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Mozambique | deepfake_video_fraud | WormGPT | corporate_enterprise | English | facebook | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | low | 1 | 0 | 0 | 1 | 69 | 25.3 | 13 | 3 | 13,202 | 0 | 1 | 0 | 1 | email_security_gateway | 1 | 1 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1.84 | 1 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 20 | 9 | 0 |
AILLM001084 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Cameroon | automated_social_engineering | FraudGPT | financial_institution | Hausa | telegram | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | low | 1 | 1 | 0 | 1 | 9 | 6.2 | 37 | 2 | 1,176 | 1 | 1 | 0 | 1 | url_scanning | 0 | 1 | 0 | 1 | 1 | 4 | 1 | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.95 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 25.5 | 12 | 15 |
AILLM000926 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Nigeria | ai_generated_phishing_email | WormGPT | education | French | phone_call | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | low | 1 | 1 | 1 | 0 | 9 | 12.1 | 21 | 2 | 1,464 | 1 | 0 | 1 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.95 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 15.5 | 12 | 3 |
AILLM003049 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Cameroon | llm_assisted_bec | ChatGPT_jailbroken | healthcare | Swahili | sms | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | medium | 1 | 1 | 0 | 0 | 16,092 | 26.6 | 1,805 | 480 | 0 | 0 | 1 | 0 | 1 | url_scanning | 1 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 4.21 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 18.5 | 10 | 0 |
AILLM001117 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Cote d'Ivoire | llm_assisted_bec | FraudGPT | individual_consumer | Arabic | dating_app | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | low | 1 | 1 | 0 | 1 | 5,608 | 19.2 | 10 | 1 | 0 | 0 | 1 | 0 | 1 | user_report | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 1 | 1 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3.75 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 23 | 12 | 3 |
AILLM000642 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | DRC | ai_credential_stuffing | ai_code_assistant_abused | financial_institution | Pidgin | email | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | low | 1 | 0 | 0 | 0 | 28 | 7.9 | 7 | 1 | 477 | 0 | 1 | 1 | 1 | url_scanning | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.45 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 9 | 6 |
AILLM004767 | 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 | llm_vulnerability_discovery | FraudGPT | individual_consumer | Afrikaans | email | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | medium | 1 | 1 | 1 | 0 | 293 | 11.7 | 544 | 63 | 4,856 | 1 | 1 | 0 | 1 | url_scanning | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 1 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2.47 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 19 | 8 | 7 |
AILLM000501 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Algeria | ai_generated_disinformation | custom_fine_tuned_llm | telecommunications | English | whatsapp | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | medium | 1 | 0 | 0 | 1 | 7 | 5.4 | 4,692 | 253 | 636,585 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0.85 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 16.5 | 5 | 13 |
AILLM004066 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Nigeria | ai_credential_stuffing | ChatGPT_jailbroken | government | English | email | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | low | 1 | 1 | 0 | 1 | 97 | 1.2 | 27 | 1 | 3,574 | 0 | 1 | 0 | 1 | email_security_gateway | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1.99 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 12 | -3 |
AILLM000333 | 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 | deepfake_video_fraud | DarkBard | corporate_enterprise | French | whatsapp | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | low | 0 | 0 | 0 | 1 | 356 | 13.9 | 979 | 136 | 2,023 | 0 | 1 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2.55 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 0 | 10 |
AILLM004684 | 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 | ai_password_cracking | deepfake_generation_tool | telecommunications | English | facebook | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | high | 1 | 0 | 1 | 1 | 8 | 9.9 | 115 | 11 | 226 | 1 | 0 | 1 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.9 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 17.5 | 5 | 16 |
AILLM000486 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Uganda | deepfake_video_fraud | ChatGPT_jailbroken | corporate_enterprise | English | telegram | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | medium | 1 | 0 | 0 | 0 | 2,790 | 6.5 | 6,925 | 450 | 554,034 | 0 | 1 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 3.45 | 1 | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 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 | 1 | 0 | 0 | 13 | 7 | 13 |
AILLM001962 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Kenya | ai_assisted_code_exploit | DarkBard | financial_institution | English | whatsapp | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | low | 1 | 0 | 1 | 1 | 734 | 27.1 | 862 | 233 | 4,730 | 0 | 0 | 0 | 1 | voice_analysis | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2.87 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 12 |
AILLM000393 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Nigeria | ai_generated_phishing_email | voice_cloning_api | financial_institution | Pidgin | facebook | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | medium | 0 | 1 | 1 | 1 | 5 | 29.1 | 43 | 12 | 1,485 | 1 | 1 | 0 | 1 | security_analyst | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 1 | 1 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.7 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 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 | 22 | 3 | 3 |
AILLM004842 | 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 | Egypt | ai_generated_romance_scam | WormGPT | financial_institution | English | video_call | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | medium | 0 | 1 | 1 | 1 | 41,974 | 4.8 | 955 | 45 | 221,365 | 1 | 1 | 0 | 1 | ai_detection_tool | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 4.62 | 1 | 1 | 1 | 1 | 1 | 0 | 3 | 1 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 26 | 7 | 18 |
AILLM004866 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Uganda | automated_social_engineering | deepfake_generation_tool | telecommunications | Twi | linkedin | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | low | 0 | 0 | 1 | 0 | 1 | 8.2 | 51 | 4 | 418 | 0 | 1 | 0 | 0 | undetected | 1 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 3 | 1 | 0 | 1 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 23 | 2 | 3 |
AILLM001755 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | South Africa | ai_assisted_code_exploit | open_source_llm | media_journalism | Portuguese | sms | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | low | 1 | 1 | 1 | 0 | 26,857 | 0.9 | 100 | 1 | 183,636 | 0 | 0 | 0 | 0 | undetected | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 4 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 4.43 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 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 | 0 | 0 | 1 | 0 | 15.5 | 14 | 8 |
AILLM002515 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Nigeria | ai_generated_phishing_email | ChatGPT_jailbroken | education | English | email | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | high | 1 | 1 | 1 | 0 | 31,894 | 20 | 35 | 7 | 234,537 | 0 | 0 | 0 | 1 | behavioural_analysis | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 3 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 4.5 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 21.5 | 10 | 3 |
AILLM003585 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Nigeria | llm_assisted_bec | FraudGPT | financial_institution | Amharic | linkedin | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | low | 1 | 0 | 0 | 1 | 7,928 | 29.1 | 3,078 | 895 | 271 | 0 | 0 | 0 | 1 | voice_analysis | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 3.9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 11 | 0 |
AILLM004315 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Morocco | automated_social_engineering | ai_code_assistant_abused | individual_consumer | Pidgin | sms | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | medium | 1 | 1 | 0 | 1 | 99 | 23.3 | 482 | 112 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 1 | 1 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 22.5 | 8 | 13 |
AILLM004966 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Nigeria | deepfake_video_fraud | deepfake_generation_tool | financial_institution | Xhosa | phone_call | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | high | 0 | 0 | 0 | 1 | 611 | 17.1 | 1,583 | 270 | 0 | 1 | 0 | 0 | 1 | security_analyst | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 1 | 0 | 1 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 2.79 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 19 | 0 | 7 |
AILLM002099 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Ghana | llm_assisted_bec | ChatGPT_jailbroken | e_commerce | English | whatsapp | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | medium | 1 | 0 | 0 | 0 | 73 | 3.9 | 10 | 1 | 48,424 | 0 | 1 | 0 | 1 | user_report | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.86 | 1 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 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 | 12.5 | 5 | 3 |
AILLM003599 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Egypt | ai_assisted_code_exploit | ChatGPT_jailbroken | financial_institution | Arabic | whatsapp | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | low | 1 | 1 | 1 | 1 | 95 | 28.5 | 5 | 1 | 4,556 | 1 | 1 | 0 | 0 | undetected | 0 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1.98 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 13 |
AILLM004121 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Nigeria | ai_generated_romance_scam | FraudGPT | corporate_enterprise | Hausa | twitter_x | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | medium | 1 | 1 | 0 | 0 | 5 | 3.7 | 225 | 8 | 32,388 | 0 | 0 | 0 | 1 | security_analyst | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.7 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 18 | 6 | 0 |
AILLM000029 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Senegal | automated_social_engineering | automated_phishing_toolkit | critical_infrastructure | English | telegram | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | high | 1 | 0 | 0 | 0 | 205 | 6.3 | 29 | 1 | 841,093 | 1 | 1 | 1 | 1 | ai_detection_tool | 0 | 0 | 1 | 1 | 1 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.31 | 1 | 1 | 1 | 1 | 1 | 1 | 4 | 1 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 18.5 | 3 | 5 |
AILLM000065 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Kenya | automated_social_engineering | FraudGPT | e_commerce | Amharic | email | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | medium | 1 | 1 | 0 | 0 | 33,515 | 15.6 | 979 | 152 | 987,708 | 0 | 0 | 1 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 4 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 4.53 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 10 | 3 |
AILLM000838 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Nigeria | ai_voice_cloning_vishing | ai_image_generator | telecommunications | French | whatsapp | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | low | 1 | 0 | 1 | 0 | 52 | 28.3 | 9 | 2 | 92 | 0 | 1 | 1 | 0 | undetected | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 4 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1.72 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 9 | 9 |
AILLM003906 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Kenya | ai_password_cracking | ChatGPT_jailbroken | government | Arabic | video_call | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | low | 1 | 0 | 0 | 0 | 1 | 23.8 | 24 | 5 | 448 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 9 | 7 | 13 |
AILLM003773 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Kenya | ai_assisted_code_exploit | WormGPT | individual_consumer | Amharic | email | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | medium | 1 | 0 | 0 | 0 | 487 | 19.9 | 82 | 16 | 75,981 | 1 | 0 | 0 | 1 | security_analyst | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2.69 | 1 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 19.5 | 5 | 5 |
AILLM004635 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | South Africa | chatbot_impersonation_fraud | ChatGPT_jailbroken | financial_institution | Swahili | facebook | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | medium | 1 | 1 | 1 | 0 | 87 | 17.6 | 1,559 | 274 | 346,570 | 0 | 1 | 1 | 0 | undetected | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1.94 | 1 | 1 | 1 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 6 | 3 |
AILLM003161 | NCSC UK AI Cyber Threat Assessment 2024 | https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber | Cameroon | chatbot_impersonation_fraud | voice_cloning_api | healthcare | English | whatsapp | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | low | 1 | 0 | 0 | 1 | 932 | 25.4 | 277 | 70 | 37,209 | 1 | 1 | 1 | 0 | undetected | 0 | 1 | 1 | 1 | 1 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2.97 | 1 | 1 | 0 | 1 | 1 | 1 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 9 | 15 |
AILLM002659 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Ghana | ai_voice_cloning_vishing | ai_code_assistant_abused | corporate_enterprise | Portuguese | email | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | low | 1 | 1 | 0 | 0 | 30,156 | 25.4 | 104 | 26 | 767,201 | 0 | 0 | 1 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 4.48 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 14.5 | 14 | 16 |
AILLM004615 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Ghana | ai_voice_cloning_vishing | DarkBard | corporate_enterprise | French | sms | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | low | 1 | 0 | 1 | 1 | 64 | 27.8 | 355 | 98 | 354 | 0 | 1 | 1 | 1 | url_scanning | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1.81 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 9 | 0 |
AILLM004628 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Morocco | ai_generated_romance_scam | voice_cloning_api | individual_consumer | French | phone_call | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | low | 0 | 0 | 0 | 1 | 11,217 | 2.5 | 8 | 1 | 101 | 0 | 0 | 0 | 1 | user_report | 1 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 4.05 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 22.5 | 4 | 0 |
AILLM002451 | 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 | deepfake_video_fraud | deepfake_generation_tool | telecommunications | Afrikaans | video_call | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | low | 1 | 0 | 0 | 0 | 29 | 4.7 | 634 | 29 | 490 | 0 | 1 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 1 | 0 | 1 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1.46 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 21.5 | 7 | 13 |
AILLM002846 | SlashNext State of Phishing Report 2024 | https://www.slashnext.com/state-of-phishing-report-2024/ | Ghana | llm_assisted_bec | ChatGPT_jailbroken | corporate_enterprise | Swahili | instagram | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | low | 0 | 1 | 1 | 1 | 7 | 15.8 | 3 | 1 | 466,293 | 0 | 1 | 0 | 1 | user_report | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.85 | 1 | 1 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 3 | 5 |
AILLM001144 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Nigeria | ai_generated_phishing_email | ChatGPT_jailbroken | education | English | sms | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | low | 0 | 1 | 1 | 1 | 10 | 25.2 | 2 | 1 | 91 | 1 | 0 | 0 | 1 | email_security_gateway | 1 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 18.5 | 5 | 3 |
AILLM003078 | 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 | llm_assisted_bec | voice_cloning_api | corporate_enterprise | Pidgin | whatsapp | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | medium | 1 | 0 | 0 | 0 | 10 | 21.9 | 939 | 205 | 283 | 1 | 0 | 1 | 1 | behavioural_analysis | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 18 | 5 | 10 |
AILLM001103 | 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 | ai_voice_cloning_vishing | automated_phishing_toolkit | telecommunications | Amharic | linkedin | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | high | 0 | 1 | 0 | 1 | 1 | 18.2 | 17 | 3 | 168 | 0 | 0 | 0 | 0 | undetected | 0 | 1 | 0 | 1 | 1 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 23.5 | 5 | 13 |
AILLM000168 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Nigeria | automated_social_engineering | automated_phishing_toolkit | critical_infrastructure | English | whatsapp | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | medium | 1 | 1 | 0 | 0 | 832 | 19.1 | 9,677 | 1,848 | 14,043 | 1 | 1 | 0 | 1 | voice_analysis | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 2.92 | 1 | 1 | 0 | 1 | 1 | 0 | 3 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 14.5 | 8 | 3 |
AILLM001670 | 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 | chatbot_impersonation_fraud | voice_cloning_api | legal_professional | Hausa | sms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | high | 1 | 0 | 1 | 0 | 849 | 22.8 | 6,450 | 1,470 | 368 | 1 | 1 | 0 | 1 | email_security_gateway | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 2.93 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 13.5 | 5 | 12 |
AILLM002570 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Nigeria | chatbot_impersonation_fraud | ChatGPT_jailbroken | financial_institution | Xhosa | video_call | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | low | 1 | 0 | 1 | 0 | 934 | 23.8 | 27 | 6 | 27,222 | 0 | 0 | 1 | 0 | undetected | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2.97 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 21 | 7 | 6 |
AILLM002377 | Sumsub Identity Fraud Report 2024 | https://sumsub.com/blog/identity-fraud-report-2024/ | Cameroon | llm_assisted_bec | ai_image_generator | individual_consumer | English | whatsapp | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | low | 1 | 0 | 0 | 1 | 444 | 15 | 5,379 | 806 | 880,291 | 0 | 0 | 0 | 1 | ai_detection_tool | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 | 0 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 2.65 | 1 | 1 | 1 | 0 | 0 | 0 | 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 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 9 | 5 |
AILLM004395 | Microsoft Digital Defense Report 2024 | https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/ | Nigeria | ai_voice_cloning_vishing | custom_fine_tuned_llm | financial_institution | English | email | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | medium | 1 | 0 | 0 | 1 | 152 | 5.8 | 8,358 | 484 | 269 | 1 | 0 | 0 | 1 | behavioural_analysis | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 2.18 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 16.5 | 5 | 5 |
AI-Powered & LLM-Assisted Attacks — Africa Cyber Threat Intelligence
Part of the Africa Cyber Threat Intelligence collection by electricsheepafrica.
- Acquisition: SYNTHETIC
- Rows: 10,000 (balanced 50/50)
- Synthetic: All records are synthetic (is_synthetic=1), based on real-world research data.
Usage
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/africa-ai-llm-attacks")
Overview
This dataset models AI-powered and LLM-assisted cyber attacks targeting African nations. The advent of generative AI has fundamentally transformed the African threat landscape: SlashNext reports a 1,265% increase in AI-generated phishing since 2023, while Sumsub documents a 700% surge in deepfake fraud across Africa. LLMs have democratised cybercrime — low-skill attackers can now generate grammatically perfect phishing in local African languages, clone voices for banking fraud, and automate romance scam conversations at scale.
Africa-specific patterns captured:
- Nigeria (Yahoo Boys + AI): ChatGPT/WormGPT for romance scripts, BEC emails, eliminating "poor grammar" detection signal
- South Africa: AI voice cloning for banking vishing in 11 official languages, deepfake executive impersonation
- Kenya: AI-generated job scam content, automated M-Pesa social engineering at scale
- Ghana: AI-powered romance scam personas, deepfake dating profiles
- Continental: Local language phishing (Swahili, Hausa, Yoruba, Zulu, Amharic), cultural adaptation
- Dark web tools: WormGPT, FraudGPT, DarkBard marketed to African cybercriminals
- Detection gap: African organisations lack AI-powered detection, traditional filters bypassed
Attack Types
| Type | Description |
|---|---|
ai_generated_phishing_email |
LLM-crafted phishing emails |
llm_assisted_bec |
AI-assisted business email compromise |
ai_voice_cloning_vishing |
Voice cloning for phone fraud |
deepfake_video_fraud |
Deepfake video for impersonation |
ai_generated_romance_scam |
LLM-driven romance scam conversations |
automated_social_engineering |
AI-automated manipulation |
ai_malware_generation |
LLM-generated malware code |
llm_vulnerability_discovery |
AI-assisted vulnerability finding |
ai_credential_stuffing |
AI-optimised credential attacks |
ai_generated_disinformation |
AI-created false content |
ai_assisted_code_exploit |
AI-generated exploit code |
chatbot_impersonation_fraud |
Fake chatbot impersonating services |
ai_password_cracking |
AI-enhanced password cracking |
AI Tools Modelled
| Tool | Type |
|---|---|
| ChatGPT (jailbroken) | Mainstream LLM abused via jailbreaks |
| WormGPT | Purpose-built dark web cybercrime LLM |
| FraudGPT | Dark web fraud-focused LLM |
| DarkBard | Dark web LLM service |
| Custom fine-tuned LLM | Attacker-trained models |
| Open-source LLM | Uncensored open models |
| Voice cloning API | Text-to-speech impersonation |
| Deepfake generation tool | Video/image face swap |
African Languages Covered
English · French · Swahili · Hausa · Yoruba · Zulu · Arabic · Amharic · Nigerian Pidgin · Igbo · Afrikaans · Twi · Xhosa · Portuguese · Lingala
Sources
- NCSC UK — "Near-term impact of AI on the cyber threat" 2024
- Google Threat Intelligence — AI-enabled cyber attacks 2024-2025
- Microsoft Digital Defense Report 2024
- SlashNext State of Phishing Report 2024 (1265% AI phishing increase)
- Abnormal Security — AI BEC attacks report 2024
- KnowBe4 Africa Threat Report 2024
- INTERPOL Africa Cyberthreat Assessment 2025
- Sumsub Identity Fraud Report 2024 (700% deepfake surge in Africa)
- Check Point Research — WormGPT/FraudGPT analysis
Features
| Column | Type | Description |
|---|---|---|
record_id |
str | Unique identifier |
country |
str | African country (18 countries) |
attack_type |
str | Type of AI-powered attack or "none" |
ai_tool |
str | AI tool used |
target_sector |
str | Sector targeted |
language |
str | Language of attack content |
delivery_channel |
str | Delivery method |
ai_generates_text |
int64 | 1 if AI generates text |
ai_generates_voice |
int64 | 1 if AI generates voice |
ai_generates_image |
int64 | 1 if AI generates images |
ai_generates_video |
int64 | 1 if AI generates video |
ai_generates_code |
int64 | 1 if AI generates code |
ai_automates_attack |
int64 | 1 if AI automates the attack |
ai_personalizes_content |
int64 | 1 if AI personalises content |
uses_local_african_language |
int64 | 1 if African local language |
multilingual_attack |
int64 | 1 if multiple languages |
overcomes_language_barrier |
int64 | 1 if AI overcomes language barrier |
grammar_quality_high |
int64 | 1 if grammar quality high |
culturally_adapted |
int64 | 1 if culturally adapted |
realtime_conversation |
int64 | 1 if real-time AI conversation |
adapts_to_victim_response |
int64 | 1 if adaptive |
bypasses_email_filters |
int64 | 1 if bypasses filters |
bypasses_ai_detection |
int64 | 1 if bypasses AI detection |
polymorphic_content |
int64 | 1 if content varies per target |
scales_automatically |
int64 | 1 if scales automatically |
attacker_skill_level |
str | low / medium / high / none |
ai_lowers_skill_barrier |
int64 | 1 if AI lowers skill requirement |
uses_dark_web_ai_service |
int64 | 1 if dark web AI used |
organised_group |
int64 | 1 if organised group |
part_of_scam_network |
int64 | 1 if scam network |
messages_sent |
int64 | Messages sent in campaign |
success_rate_pct |
float64 | Attack success rate % |
victims_targeted |
int64 | Number targeted |
victims_compromised |
int64 | Number compromised |
financial_loss_usd |
int64 | Financial loss USD |
data_stolen |
int64 | 1 if data stolen |
credentials_harvested |
int64 | 1 if credentials stolen |
malware_deployed |
int64 | 1 if malware deployed |
detected |
int64 | 1 if detected |
detected_by |
str | Detection method |
ai_detection_used |
int64 | 1 if AI detection used |
traditional_detection_failed |
int64 | 1 if traditional detection failed |
reported |
int64 | 1 if reported |
label |
int64 | 1 = AI attack, 0 = legitimate |
is_synthetic |
int64 | 1 = synthetic data |
Extracted Features
| Feature | Description |
|---|---|
ai_modality_count / multimodal_ai / full_spectrum_ai |
AI content generation |
ai_capability_score / autonomous_attack / interactive_ai |
AI sophistication |
language_exploitation_score / advanced_localisation |
Language weaponisation |
evasion_score / bypasses_defenses / advanced_evasion |
Evasion capability |
democratised_cybercrime / skill_barrier_lowered / dark_web_ai |
Democratisation |
high_volume_campaign / mass_targeting / effective_attack |
Campaign metrics |
any_financial_loss / significant_loss / major_loss |
Financial impact |
was_detected / ai_detected / detection_gap |
Detection metrics |
| Attack type one-hot | type_phishing, type_bec, type_vishing, etc. |
| AI tool category | tool_dark_web_llm, tool_open_source, tool_media_gen |
| Channel type | channel_email, channel_messaging, channel_voice |
| Regional flags | is_west_africa, is_east_africa, etc. |
ai_threat_score |
Composite AI threat severity |
democratisation_risk_score |
Cybercrime democratisation risk |
detection_challenge_score |
Detection difficulty score |
Intelligence Sources
The following real-world sources informed the synthetic attack samples in this dataset:
- NCSC UK AI Cyber Threat Assessment 2024 — https://www.ncsc.gov.uk/collection/near-term-impact-of-ai/cyber
- Microsoft Digital Defense Report 2024 — https://www.microsoft.com/en-us/security/blog/microsoft-digital-defense-report-2024/
- SlashNext State of Phishing Report 2024 — https://www.slashnext.com/state-of-phishing-report-2024/
- Sumsub Identity Fraud Report 2024 — https://sumsub.com/blog/identity-fraud-report-2024/
- 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
Citation
@misc{electricsheepafrica2026aillm,
title = {AI-Powered & LLM-Assisted Attacks (Africa)},
author = {Electric Sheep Africa},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ai-llm-attacks}}
}
License: MIT
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