Published • loading... • Updated
Authorities disrupt nearly 11,000 cybercrime networks in Africa
- Interpol announced today that Operation Serengeti III resulted in 1,462 arrests and the dismantling of 10,909 malicious networks across 21 countries targeting cybercrime in Africa.
- Coordinated by Interpol, the operation relied on technical intelligence from private partners including Team Cymru, Kaspersky, Group-IB, and Fortinet to map criminal networks.
- Law enforcement successes included dismantling two fraud rings in Uganda with 365 arrests and seizing more than 2,000 mining devices in Angola with nine arrests.
- Actions taken between June 29 and August 31 led to recovery of more than $105 million in illegal funds, following investigations identifying 65,929 victims and more than $385 million in losses.
- Jacomo Piccolini, Team Cymru's VP of Global Data Partnerships, noted that seeing attacker infrastructure at internet scale allows defenders to act before damage occurs, shifting focus from investigating attacks to proactive disruption.
Insights by Ground AI
24 Articles
24 Articles
The operation, known as "Serengeti III", also led to the dismantling of 10,909 malicious networks. US$105 million of illicit funds were also recovered.
·Paris, France
Read Full Article
INTERPOL nabs two Nigerian yahoo boys over $2.4m fraud, recovers $105m in Africa
The International Criminal Police Organisation, INTERPOL, has arrested two Nigerian internet fraudsters, also known as ‘yahoo boys’ and 1,460 others from other African countries. The operation, codenamed Operation Serengeti III, which targeted cyber-enabled fraud, ransomware, business email compromise, BEC, online scams and digital extortion also led to the arrest of 1,462 suspects and recovery of […] INTERPOL nabs two Nigerian yahoo boys over $…
·Nigeria
Read Full Article
International police operation disrupts nearly 11,000 malicious networks across 21 countries
·Ankara, Türkiye
Read Full Article
Coverage Details
Total News Sources24
Leaning Left2Leaning Right3Center2Last UpdatedBias Distribution43% Right
Bias Distribution
- 43% of the sources lean Right
43% Right
L 29%
C 28%
R 43%
Factuality
To view factuality data please Upgrade to Premium
