Indonesian authorities, INTERPOL, and Group-IB said a joint law-enforcement effort dubbed Operation Night Fury led to the arrest of three suspected operators of the GetBilling JavaScript-sniffer group in Indonesia. Investigators linked the gang to the compromise of hundreds of ecommerce websites in multiple countries, where malicious web skimming code was used to steal payment-card details and personal information from thousands of online shoppers across Asia, Europe, and the Americas.
According to the investigation, the suspects allegedly relied on VPN services, stolen payment cards, and infrastructure hosted partly in Indonesia to run the operation and convert stolen data into profit by buying goods for resale. The case was described as the first successful multi-jurisdictional takedown of JavaScript-sniffer operators in the APAC region, and authorities said related investigations remained active in five other ASEAN countries.

See the reporting duties and controls this puts on the clock.
4 events from the most recent confirmed update back to the earliest known activity.
In December 2019, Indonesian authorities, INTERPOL, and Group-IB's APAC Cyber Investigations Team carried out Operation Night Fury, arresting three suspected GetBilling operators in Yogyakarta and Jakarta. Indonesian Cyber Police also seized laptops, phones, CPU units, IDs, a BCA token, and ATM cards.
The article states that in December 2019, JavaScript sniffers infected the website of Singaporean fashion brand Love, Bonito, illustrating the ongoing threat from this malware category.
Group-IB's 2019 report, titled "Crime without punishment," first described the GetBilling family and documented the broader JavaScript-sniffer threat landscape.
Group-IB said it had been tracking the GetBilling JavaScript-sniffer family since 2018 as the malware infected ecommerce websites and stole shoppers' payment and personal data.
Vulnerabilities, threat actors, malware, products, organizations, and breaches Mallory has linked to this story.
See what this changes for your reporting obligations and which controls it puts on the clock.
1 reference tracked. Mallory keeps watching after this page renders.
Map indicators from this story to your assets and identify affected systems in minutes.
Every observed campaign, victim, and pivot linked to actors named in this story.
Malware, exploits, and IOCs connected to the activity described here.
YARA, Sigma, and Snort rules deployed to your SIEM as soon as they’re published.
Get matching new stories delivered to your team as they break — not the next morning.
Ask questions about this story and take action on the answers.