Deepfakes and Social Engineering: The Next Generation of Cyber Threats

Hey there, readers! Many of you are familiar with the deep fake technology that produces realistic fake images, sounds and videos. Well, this deepfake technology is progressing very fast, enabling attackers to manipulate digital content and trick people and organizations. One of the most concerning cyber dangers to arise from this technology is deepfake social engineering. The combination of deepfakes and social engineering has given rise to a developed cyberattack strategy that uses artificial intelligence to create realistic fake audio, video or images to deceive and scam victims. The goal of this guide is to teach you about the destructive nature of deepfakes and social engineering on people and organizations, and educate you on how to protect yourself in this rapidly changing threat environment. 

How Do Deepfakes and Social Engineering Work?

Deepfake technology has been used in social engineering campaigns, using audio deepfakes to deceive people into believing it is real. For instance, a CEO of an energy company in the United Kingdom was deceived into believing that he was speaking to the chief executive of its parent company located in Germany. This deepfake technology copied the voice of the chief executive and convinced the CEO to transfer €220,000 to a staged Hungarian supplier’s bank account. This shows the severity of deepfake social engineering even for established companies.

 Attackers use AI-driven tools in a number of ways to create deepfakes, including:

Misinformation and Damage to Reputation

Deepfakes could be used to generate fake statements from executives or employees that could do a lot of damage to the company and its brand image and cause the company’s market value to plummet.

Theft of Credential 

Attackers will often use deepfake videos or images to carry out phishing attacks, tricking employees into sharing their login IDs and passwords, or providing fraudulent access requests.

Business Email Compromise and Voice Fraud

Malicious actors use deepfake voice cloning to fake a senior executive and command employees to transfer money or reveal confidential information. 

Fake Video Conferencing Attacks 

Cyberattackers generate deepfake videos of executives or colleagues to manipulate employees into obeying the fake orders. 

Tools Used For Deepfake Social Engineering

Malicious actors now have access to a variety of AI-driven tools that allow them to execute deepfake social engineering techniques. Some of the most common tools are:

Note: The above mentioned tools have both benefits and disadvantages, so we do not encourage you to engage with these tools for malicious purposes. 

Deepfake Social Engineering vs Traditional Social Engineering 

Traditional social engineering is entirely based on plausible text and psychological urgency. It could occur through a fake email domain, a scripted phone call, or a forged invoice. However, defenders nowadays have learned how to identify the signs of social engineering by examining the sender’s address, finding generic greetings and context-free urgency. 

Deepfake social engineering invalidates these signs by replacing text-based fraud with fake video and AI-cloned voices, which deceive people into trusting visual and auditory cues. 

When an employee sees and hears the human-sounding CFO on a video call, the cognitive shortcuts that generally flag suspicious requests. 

Which Industries Face the Highest Risk of Deepfake Social Engineering?

Deepfake social engineering does not target all the industries. The number of cyberattacks and financial exposure mainly happen in industries where high-value transactions, confidential data, and public executive visibility intersect. The difference between these industries lies mainly in the targeted asset- money, data, credentials, or influence. 

Financial Services 

Financial institutions are at the highest risk of cyberattacks because the payoff is direct and immediate. According to an FBI IC3 Annual Report, more than $3 billion was lost in business email compromise fraud. Malicious attacks also use know-your-customer onboarding gaps by presenting AI-generated identity documents and deepfake selfie videos that bypass biometric verification at account opening. 

Healthcare Organizations 

Healthcare companies face a different kind of cyber attack. The attackers employ deepfake proof to create fake insurance claims, impersonate clinicians to get patient records, and steal confidential information that discloses electronic health records. 

Tech and SaaS

These companies are targeted to get developer credentials and intellectual property. A simple fake voice call faking a CTO can end up in losing a huge amount of money. This is more obvious when employees hear the same voice in dozens of recorded demos. 

For example, a cybersecurity company named KnowBe4 unknowingly recruited a North Korean spy who exploited AI and a stolen identity to crack the interviews and background verification. The company identified the breach when the new joinee instantly installed malware on their corporate device. When investigated about his act, the individual vanished. After investigation, it was found that the laptop had been mailed to a US-based laptop farm, and the malware turned on remote control back to North Korea. 

Law and Professional Services

These services face partner impersonation for wire transfer authorization and client data breaches. The risk increases by the fact that attorney-client privilege creates pressure to act on requests without separate verification. 

Educational Institutions

These institutions are increasingly targeted through admin impersonation as the deepfake calls that impersonate financial aid officers or registrars exploit the trust of the students and families in institutional authority figures. 

Apart from this, there is also an example of Ferrari where an executive attended a deepfake call claiming to be the company’s CEO. The one who attended the phone call suspected something was wrong and asked the AI avatar a question that the real CEO could answer only. The call ended immediately and Ferrari carried out an immediate investigation. 

How Can Businesses Prevent Deepfake Social Engineering?

Organizations must leverage threat intelligence to stay a step ahead of the ever-evolving deepfake threats by mapping cybercriminal activity and identifying the most serious risks to fight the cyberthreats posed by deepfake social engineering. They should: 

Leverage Threat Intelligence. Threat intelligence allows organizations to stay ahead of emerging deepfake threats by monitoring cybercriminal activity and identifying the most critical risks. Organizations should: Monitor the dark web for compromised biometrics of executives or employees such as voice or facial data. Analyze attack trends to understand the industries and roles most commonly targeted with deepfake techniques. Utilize AI-powered behavioral analysis tools to detect anomalies in conversation patterns.

Hire Digital Risk Protection Services 

Digital risk protection services allow companies to build proactive strategies to detect and respond to deepfake attempts before they even happen. Some of the major services include: Internet scans for illegal deepfake content mimicking company leaders. Use of deepfake detection tools for video and voice authentication in high-risk situations.

Finding and dismantling fraudulent content that may harm the reputation of the company. 

Digital watermarking of your company and finding mirror domains, typosquatting and logo misuse can help find malicious impersonation of your digital presence before it can be compromised. 

Inform and Train Employees

It is very important to make your employees aware of the risks of deepfake social engineering and how to address it if it occurs. Deepfake attack: a robust approach to deepfake social engineering attacks. Companies can train staff to spot the threat of deepfakes and suspicious conversations, use multi-channel authentication before approving high value requests and have clear escalation procedures for high risk transactions. Incorporate deepfake testing into normal cybersecurity practices. Use deepfakes in messaging, images, audio and video outside of email phishing.

Strengthen Authentication Measures 

Conventional security measures may not be enough to fight deepfake threats. Companies should be using multi-factor authentication and real time detection of biometric security to tell between real users and deepfakes, and limiting access to sensitive data through role based access control.

Zero-trust model for least privilege access and continuous verification. A holistic approach to fighting deepfake attacks.

Assess Your Approach

Particularly, make sure any high-stakes process involving financial transactions, updating pay, or sharing sensitive data does not entirely depend on a digital conversation with a similar-sounding colleague or internal executive. Make sure that both biometric and non-biometric mechanisms are approval based that can prevent such attacks. Processes should be regularly reviewed and tested to ensure they remain robust

Conclusion

Deepfake social engineering is an emerging cyberthreat that businesses can’t afford to ignore. By leveraging threat intelligence, digital risk protection, education of employees, sophisticated authentication measures and better controls, companies can beef up their cybersecurity defenses against this emerging threat. In a world of shallow digital media, creating a proactive security posture is a wise decision for companies that want to prevent deepfake threats and protect their financial and brand assets.

Frequently Asked Questions (FAQs) 

What are the different types of social engineering?

There are four common types of social engineering attacks, including phishing, pretexting, baiting and tailgating. 

What are the impacts of deepfakes on society? 

Deepfakes are high fidelity synthetic media that generate misleading audio and video which threaten social trust, democracy, and public safety. 

What are some examples of social engineering attacks? 

Phishing, whaling, spear phishing, vishing, etc are some of the common examples of social engineering attacks. 

What is the difference between social engineering and phishing? 

Social engineering is a catch-all term for techniques that take advantage of human psychology to trick people into breaking security procedures or revealing sensitive data. Phishing is a particular form of social engineering in which malicious digital messages are used to steal data. 

How can you prevent deepfakes?

You can prevent deepfakes by limiting your public biometric footprint online, using verification protocols for calls and using removal services if you are targeted.

What are the signs of deepfake social engineering? 

Red flags: Fake urgency, impersonation, emotional manipulation, suspicious links, odd requests