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Law and Government

Malaysia Immigration System Crashes for 3.75 Hours, Strands Tens of Thousands, May 30

May 30, 2026
09:51 AM
3 min read

Key Points

Malaysia immigration system crashed for 3 hours 45 minutes on May 28, affecting all 114 entry points.

Tens of thousands stranded at checkpoints, especially Johor-Singapore crossings during morning rush.

Technical fault caused outage, not cyberattack or data breach, says home ministry.

MyIMMs system is 30 years old; replacement delayed to 2028, second major failure in six weeks.

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Malaysia’s immigration system suffered a technical failure on May 28 that crippled border operations for 3 hours and 45 minutes, affecting all 114 entry points nationwide. Tens of thousands of travellers faced manual processing at checkpoints, with severe congestion at the Johor-Singapore crossings during peak commuting hours. The outage marks the second major disruption in six weeks and exposes the fragility of a 30-year-old system.

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How the System Failed and When

The Malaysian Immigration Systems (MyIMMs) went offline between 4:30am and 9:30am on May 28, a public holiday. Autogates, facial recognition systems and computerised clearance counters became unusable. Immigration officers were forced to manually process both Malaysians and foreign travellers at all 114 entry points. Home Minister Saifuddin Nasution Ismail confirmed the outage lasted 3 hours and 45 minutes and was caused by an internal technical fault, not a cyberattack or data breach.

Chaos at Singapore-Malaysia Border Crossings

Severe congestion hit the Johor land checkpoints during the morning rush, with tens of thousands of Malaysians attempting to cross into Singapore for work. The Bangunan Sultan Iskandar complex linked to the Woodlands Causeway and Sultan Abu Bakar CIQ linked to the Tuas Second Link both faced massive queues. A home ministry official said personnel were redeployed to man manual counters at bus halls, motorcycle and vehicle lanes.

Ageing System, Recurring Failures

Immigration director-general Zakaria Shaaban said the MyIMMs system is 30 years old and problems are bound to happen. This crash on May 28 was the second in just over a month after a similar incident on April 23 left thousands stranded for about two hours. Zakaria warned such disruptions may recur until the National Integrated Immigration System (NIISe) replaces MyIMMs by 2028.

Delayed Replacement Draws Political Fire

An opposition MP called on the home ministry to disclose the root cause, actual number of affected travellers, and completion deadline for NIISe. The MP noted that NIISe was launched in 2021 and expected to be operational by 2024, but Malaysia still relies on the ageing system after years of billion-ringgit procurement and re-procurement. The ministry apologised and said it will expedite the upgrade while increasing storage capacity and improving system infrastructure.

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Final Thoughts

Malaysia’s immigration system crashed for nearly four hours on May 28, stranding tens of thousands at 114 checkpoints. The 30-year-old MyIMMs system has now failed twice in six weeks. The replacement system will not be ready until 2028, meaning more disruptions are likely.

FAQs

Was the immigration system hacked?

No. The Home Minister confirmed the outage was caused by an internal technical fault, not a cyberattack or data breach. No data was compromised.

How long was the system down?

The MyIMMs system was offline for 3 hours 45 minutes on May 28, from approximately 4:30am to 9:30am, with recovery taking an additional 45 minutes.

When will the new immigration system launch?

The National Integrated Immigration System (NIISe) is expected to replace MyIMMs by 2028, though it was originally planned for 2024 with multiple delays.

Disclaimer:

The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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