ATM Burglars Arrested in Moscow, Stole $1.5 Million USD

I’ve been keeping an eye in ATM security stories ever since reading about malware that targeted certain Diebold ATM systems. My curiosity is periodically reinforced by Brian Kreb’s series of posts about ATM skimmers. In that light, I found the following report of physical ATM break-ins interesting.

According to a report by the Russian news agency Live News, Moscow police arrested a group of individuals accused of burglarizing ATMs during 17 incidents in Moscow, Russia, stealing a total of 45 million rubles in cash ($1.5 million USD).

The gang allegedly used balloons to obstruct the view of the security cameras while cracking open ATM machines. Each burglary took, on the average, one minute to complete.

The Live News story has a video of the gang in action. (It’s in Russian.)

According to Lenta.ru, the gang has been breaking into ATMs since 2005. Moscow Ministry of Internal Affairs reports that the team relied on its women members to watch out for police while the men cracked open the ATMs. The individuals ranged from 27 to 47 in age. According to another report, their getaway vehicles of choice were Mercedes S-Class sedans.

A few news stories about unrelated ATM burglaries in the United States, in case you want to know more about how such crimes occur:

As information security professionals, we sometimes forget how effective breaches to physical security can be.

Check out my other posts, focusing mostly on information security.

Lenny Zeltser

Updated

About the Author

I design security solutions and shepherd them to a sustainable state. I used to be hands-on in many areas of cybersecurity and IT. Now I focus on strategy and leadership, treating security as an enabler that helps people and companies achieve their goals. As the CISO of Axonius, I lead the security program to earn customers' trust and fuel the company's growth. Earlier, I built security products and services. I'm also a Faculty Fellow at SANS Institute, where I help professionals develop malware analysis skills.

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