Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2021/10/using-machine-learning-to-guess-pins-from-video.html
Researchers trained a machine-learning system on videos of people typing their PINs into ATMs:
By using three tries, which is typically the maximum allowed number of attempts before the card is withheld, the researchers reconstructed the correct sequence for 5-digit PINs 30% of the time, and reached 41% for 4-digit PINs.
This works even if the person is covering the pad with their hands.
The article doesn’t contain a link to the original research. If someone knows it, please put it in the comments.
Slashdot thread.
Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2021/06/nfc-flaws-in-pos-devices-and-atms.html
It’s a series of vulnerabilities:
Josep Rodriguez, a researcher and consultant at security firm IOActive, has spent the last year digging up and reporting vulnerabilities in the so-called near-field communications reader chips used in millions of ATMs and point-of-sale systems worldwide. NFC systems are what let you wave a credit card over a reader — rather than swipe or insert it — to make a payment or extract money from a cash machine. You can find them on countless retail store and restaurant counters, vending machines, taxis, and parking meters around the globe.
Now Rodriguez has built an Android app that allows his smartphone to mimic those credit card radio communications and exploit flaws in the NFC systems’ firmware. With a wave of his phone, he can exploit a variety of bugs to crash point-of-sale devices, hack them to collect and transmit credit card data, invisibly change the value of transactions, and even lock the devices while displaying a ransomware message. Rodriguez says he can even force at least one brand of ATMs to dispense cashthough that “jackpotting” hack only works in combination with additional bugs he says he’s found in the ATMs’ software. He declined to specify or disclose those flaws publicly due to nondisclosure agreements with the ATM vendors.
Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2020/09/north_korea_atm.html
The US Cybersecurity and Infrastructure Security Agency (CISA) published a long and technical alert describing a North Korea hacking scheme against ATMs in a bunch of countries worldwide:
This joint advisory is the result of analytic efforts among the Cybersecurity and Infrastructure Security Agency (CISA), the Department of the Treasury (Treasury), the Federal Bureau of Investigation (FBI) and U.S. Cyber Command (USCYBERCOM). Working with U.S. government partners, CISA, Treasury, FBI, and USCYBERCOM identified malware and indicators of compromise (IOCs) used by the North Korean government in an automated teller machine (ATM) cash-out scheme — referred to by the U.S. Government as “FASTCash 2.0: North Korea’s BeagleBoyz Robbing Banks.”
The level of detail is impressive, as seems to be common in CISA’s alerts and analysis reports.
Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2020/09/north_korea_atm.html
The US Cybersecurity and Infrastructure Security Agency (CISA) published a long and technical alert describing a North Korea hacking scheme against ATMs in a bunch of countries worldwide:
This joint advisory is the result of analytic efforts among the Cybersecurity and Infrastructure Security Agency (CISA), the Department of the Treasury (Treasury), the Federal Bureau of Investigation (FBI) and U.S. Cyber Command (USCYBERCOM). Working with U.S. government partners, CISA, Treasury, FBI, and USCYBERCOM identified malware and indicators of compromise (IOCs) used by the North Korean government in an automated teller machine (ATM) cash-out scheme — referred to by the U.S. Government as “FASTCash 2.0: North Korea’s BeagleBoyz Robbing Banks.”
The level of detail is impressive, as seems to be common in CISA’s alerts and analysis reports.
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