Deepfake Impersonation: How AI is Used to Gain Trust and Steal
While Artificial Intelligence (AI) brings many positive innovations and lightens our daily workload, it also introduces new security risks. As AI tools become more advanced and easily accessible, cybercriminals are increasingly using them for malicious purposes.
Cybersecurity experts have observed a rising trend of scammers using deepfake technology during virtual interactions. These attacks frequently target video job interviews for fully remote positions, as well as other high-trust conversations.
The Goals of a Deepfake Attack
Attackers use real-time video and audio manipulation to deceive organizations. Their primary objectives include:
- Financial Fraud: Initiating unauthorized fund transfers. Because these payments often look legitimate, the fraud might not be discovered until a routine financial audit occurs, making the money very difficult to trace.
- Data Theft: Stealing sensitive information regarding company infrastructure, or staff (e.g. Personal Identifiable Information, credentials...). This internal knowledge can later be exploited or sold on the dark web for extra profit.
- Network Access: Deceiving teams into granting scammers access to internal company networks and systems.
By using deepfakes, criminals can evade detection long enough to cause serious financial and operational damage, often erasing their digital footprints entirely.
Who is Targeted?
These scams typically target:
- Human Resources & Recruitment: Staff involved in hiring new, remote employees.
- Finance Departments: Teams authorized to handle financial transactions and money transfers.
- Data Managers: Employees who hold vital, internal company knowledge.
Real-Time Prevention: Tips to Identify Deepfakes
Because AI models evolve rapidly, they are constantly getting better at bypassing both human eyes and automated detection software. Prevention and awareness are our best defenses.
When conducting virtual meetings with unknown individuals or newly hired remote staff, look out for potential deepfake usage by using these methods:
- The Three-Finger Test: Ask the person on the video call to hold three fingers up directly in front of their face. This physical barrier often disrupts the real-time AI overlay, causing the digital mask to glitch or tear. While highly advanced AI tools might bypass this check, it remains an excellent, simple starting point.
- Head Movements & Lighting: Watch closely when the person moves their head from side to side. Look for visual or audio inconsistencies, such as a lag between the sound of their voice and their mouth movements. Unnatural lighting, shifting shadows, and strange facial movements are also strong indicators of manipulation.
- Multi-Channel Identity Checks: If you doubt someone's identity, verify who they are through a separate communication channel (such as a separate phone call, professional network, or official email) before sharing information.
Conclusion
It is important to remember that these detection tips are not foolproof. Deepfake technology is a rapidly changing field, and scammers will continue to find ways to bypass human checks.
Staying alert and following strict verification procedures is key to protecting yourself and the organization. If a virtual interaction feels unusual or suspicious, always report it to your internal security team immediately.
Source: https://www.huntress.com/blog/deepfake-three-finger-test