Original Release Date: 8/28/2020
Summary
Automated teller machine (ATM) companies Diebold and NCR released updates to fix a number of vulnerabilities discovered last year that may have permitted deposit forgery attacks. Deposit forgery flaws, which are considered rare, may be exploited by an attacker who has physical access to an affected ATM by intercepting and modifying messages while depositing funds, artificially increasing the deposited amount, and then withdrawing the excess funds. CVE-2020-9062 affects Diebold ProCash 2100xe USB ATMs running Wincore Probase software, and CVE-2020-10124 affects NCR SelfServ ATMs running APTRA XFS software. Additional flaws considered less severe were also identified and patched. This past weekend, the FBI and local police arrested dozens of suspects across NJ for exploiting vulnerabilities within Santander ATMs. The suspects purportedly withdrew funds from preloaded or fake debit cards during the incidents. Though the exploited vulnerabilities have not been correlated to those listed above, these similar incidents highlight the ease with which the ATM flaws may be exploited, as well as the importance of patching these systems. Additionally, CISA released a joint alert (AA20-239A) identifying malware and indicators of compromise (IOCs) used by the North Korean government in ATM cash-out schemes referred to by the US government as “FASTCash 2.0: North Korea’s BeagleBoyz Robbing Banks.” The US does not appear to be targeted in these schemes at the time of this writing; however, organizations are urged to apply recommendations and report any suspicious activity related to the identified IOCs to local law enforcement.
Recommendations
The NJCCIC urges organizations using affected ATMs to apply software updates immediately after appropriate testing and advise all organizations to review any security advisories provided by vendors for additional implementations. Furthermore, we recommend limiting physical access to ATMs, adjusting deposit transaction business logic, and implementing fraud monitoring. Additional information can be found in the HelpNet Security article.