GoldDigger Malware Using Deep Fake AI Photos To Hijack Bank Accounts

Hackers use deep fake AI photos to impersonate individuals online, allowing them to deceive, manipulate, or gain unauthorized access to sensitive information or systems. Cybersecurity researchers at InfoBlox recently discovered GoldFamily, an evolved GoldDigger trojan targeting iOS devices to steal facial recognition data and bank access using AI for biometric authentication attacks. To defend proactively, […] The post GoldDigger Malware Using Deep Fake AI Photos To Hijack Bank Accounts appeared first on GBHackers on Security | #1 Globally Trusted Cyber Security News Platform.

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May 3, 2024 - 00:00

GoldDigger Malware Using Deep Fake AI Photos To Hijack Bank Accounts

Hackers use deep fake AI photos to impersonate individuals online, allowing them to deceive, manipulate, or gain unauthorized access to sensitive information or systems.

Cybersecurity researchers at InfoBlox recently discovered GoldFamily, an evolved GoldDigger trojan targeting iOS devices to steal facial recognition data and bank access using AI for biometric authentication attacks.

To defend proactively, Infoblox’s DNS Early Detection Program identifies potentially malicious domains rapidly before appearing on threat feeds, enabling early blocking to prevent attacks before the kill chain unfolds.

GoldDigger Malware & Deep Fake

GoldFamily is an advanced version of GoldDigger that uses trickery to get people to give them facial recognition data and personal identification documentation.

It focuses on Android (malicious app install) and iOS (MDM profile install directing to TestFlight URL) users, where it steals facial data, intercepts SMS, asks for ID images and serves as a network proxy once downloaded. Document

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In the case of iOS devices, the malware establishes communication with C2 over WebSockets for functions like heartbeat, initialization, photo requests, album sync, and self-destruct.

The use of AI in deepfake authentication attacks demonstrates how much more complex cybersecurity defense needs to become.

Infoblox proactively identified suspicious GoldFamily domains months before OSINT disclosures in February 2024, with 70.83% flagged suspicious on average 197.7 days (6.5 months) earlier.

Analysis showed that threat actors rapidly operationalized domains shortly after Infoblox’s designations, yet long before public visibility. While 64.71% were blocked within 2-3 days of registration, the expanded campaign potentially targeting financial institutions demands continued vigilance.

This case highlights the benefits of early suspicious domain detection, which enables automated blocking well ahead of threat feed propagation from OSINT releases.

Proactive identification through DNS analysis empowers a defense-in-depth strategy.

Domains identified as suspicious prior to OSINT release (Source – InfoBlox)

Benchmarking threat intelligence feed performance can be done with WHOIS data, which shows domains blocked shortly after being registered – for example, 64.71% of GoldFamily domains within 2-3 days.

Malicious domains were rapidly identified as suspicious within days of WHOIS date (Source – InfoBlox)

If OSINT release dates are arguable and the sources can be overlooked, domain registration dates remain relatively accurate, thanks to WHOIS.

That’s because as soon as threat actors start rotating infrastructure, one can evaluate how effective suspicious DNS feeds are.

So, the robust Early DNS Detection capabilities present tangible benefits in terms of timely detection, such as with emerging campaigns like GoldFamily.

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The post GoldDigger Malware Using Deep Fake AI Photos To Hijack Bank Accounts appeared first on GBHackers on Security | #1 Globally Trusted Cyber Security News Platform.

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