Sri Lanka experiences rise in cybercrime incidents in 2025
Sri Lanka is witnessing an increase in cybercrime, with over 5,400 complaints reported in 2025. Facebook is linked to nearly 90% of reported cases, and other platforms including WhatsApp, Instagram, TikTok, and Snapchat are also commonly used. AI tools are being used to generate malware, deepfakes, and phishing scams. Cybercrime includes harassment, misinformation, financial fraud, ransomware, hij
Sri Lanka is witnessing an increase in cybercrime, with over 5,400 complaints reported in 2025. Nearly 90% of reported cases are linked to Facebook, and other social media platforms including WhatsApp, Instagram, TikTok, and Snapchat are also commonly used. AI tools are being used in cybercrimes to generate malware, deepfakes, and phishing scams. Cybercrime in Sri Lanka includes harassment, misinformation, financial fraud, ransomware attacks targeting government bodies and banks, human trafficking networks, fake profiles, account hijackings, extortion, and manipulation of public opinion. In the first three months of 2025, 2,887 social media and computer-related crimes were recorded, including 364 financial fraud cases, according to newsfirst.lk. Cybercrime also involves installing software viruses and stealing data related to theft or fraud, as reported by newsfirst.lk. About 90% of Sri Lanka's internet users are active on social media, according to dailymirror.lk. Sri Lanka has over 7 million internet users. A victim had his WhatsApp account hacked, and the hacker impersonated the Prime Minister's office using the President's image to deceive contacts, according to newsfirst.lk. Criminal networks favour Sri Lanka due to ease of getting tourist visas and limited regulation on SIM cards and internet connections, according to the guardian. Chinese-run criminal networks relocated their scam operations from Southeast Asia to Sri Lanka, according to the guardian.
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corroboration pass — 8 corroborated across opposed news blocs,
0 contested (attributed to both sides), 12
single-source (attributed). Nothing was added; no significance was inferred.
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