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Scam losses in Indonesia reach $422.2m by October 2025

Reported losses from scams in Indonesia reached 7 trillion rupiah (US$422.15 million) between November 2024 and October 2025, according to the Financial Services Authority (OJK).

The data came from 299,237 reports submitted to the Indonesia Anti Scam Center, which led to the blocking of 94,344 bank accounts and the freezing of Rp376.8 billion in funds.

OJK said that on average, 874 scam cases are reported daily in Indonesia, much higher than the 115 daily average in some other countries.

Only about 1% of victims reported scams within an hour of the incident, with most cases reported several hours later.

OJK noted that nearly 5% of reported scam funds in Indonesia were recovered, compared to 2% in other countries.

🔗 Source: CNBC Indonesia

🧠 Food for thought

Implications, context, and why it matters.

Indonesia’s Rp7 trillion scam losses reveal a response lag

  • Indonesia logs 874 scam reports per day 1. Otoritas Jasa Keuangan (OJK), Indonesia’s Financial Services Authority, puts other countries at about 115 per day 1. Only about 1% report within an hour, while scammers often move funds in that span.
  • The lag costs money. Indonesia Anti Scam Center (IASC) blocked or safeguarded Rp376.8 billion out of Rp7 trillion in reported losses, about 5.4% 2. That left roughly Rp6.62 trillion unrecovered 2.
  • Fake calls that mimic relatives led to Rp1.31 trillion in losses across 31,299 cases 3. Online shopping scams drew 53,928 reports, yet total losses were Rp988 billion 3. Social engineering (psychological manipulation to trick people) hits harder than transactional fraud.

Payment gateways and financial technology (fintech) firms can add fast-response connections as IASC expands blocking

  • Blocked accounts now total 94,344 across cases 2. One IASC case tracked funds through seven layers across 36 accounts at 13 banks or payment providers 4.
  • Many e-wallets (digital wallets) and payment gateways (services that process online payments) still lack links to IASC’s blocking system. Freezing suspicious transactions within minutes could set them apart and meet compliance needs.
  • AI security startups face a wider attack surface. Scammers now use AI to mimic voices and faces 3. That opens work in behavioral biometrics (analyzing how a user types, swipes, or moves) and deepfake detection for financial authentication.

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