Deepfake scams have looted millions. Experts warn it could get worse

In one of the largest known case this year, a Hong Kong finance worker was duped into transferring more than $25 million to fraudsters using deepfake technology who disguised themselves as colleagues on a video call, authorities told local media in February.   

Last week, UK engineering firm Arup confirmed to CNBC that it was the company involved in that case, but it could not go into details on the matter due to the ongoing investigation. 

Such threats have been growing as a result of the popularization of Open AI’s Chat GPT — launched in 2022 — which quickly shot generative AI technology into the mainstream, said David Fairman, chief information officer and chief security officer of APAC at Netskope. 

“The public accessibility of these services has lowered the barrier of entry for cyber criminals — they no longer need to have special technological skill sets,” Fairman said.

The volume and sophistication of the scams have expanded as AI technology continues to evolve, he added.

Various generative AI services can be used to generate human-like text, image and video content, and thus can act as powerful tools for illicit actors trying to digitally manipulate and recreate certain individuals. 

A spokesperson from Arup told CNBC: “Like many other businesses around the globe, our operations are subject to regular attacks, including invoice fraud, phishing scams, WhatsApp voice spoofing, and deepfakes.”

The finance worker had reportedly attended the video call with people believed to be the company’s chief financial officer and other staff members, who requested he make a money transfer. However, the rest of the attendees present in that meeting had, in reality, been digitally recreated deepfakes. 

Arup confirmed that “fake voices and images” were used in the incident, adding that “the number and sophistication of these attacks has been rising sharply in recent months.” 

Chinese state media reported a similar case in Shanxi province this year involving a female financial employee, who was tricked into transferring 1.86 million yuan ($262,000) to a fraudster’s account after a video call with a deepfake of her boss. 

In addition to direct attacks, companies are increasingly worried about other ways deepfake photos, videos or speeches of their higher-ups could be used in malicious ways, cybersecurity experts say.

According to Jason Hogg, cybersecurity expert and executive-in-residence at Great Hill Partners, deepfakes of high-ranking company members can be used to spread fake news to manipulate stock prices, defame a company’s brand and sales, and spread other harmful disinformation. 

“That’s just scratching the surface,” said Hogg, who formerly served as an FBI Special Agent. 

He highlighted that generative AI is able to create deepfakes based on a trove of digital information such as publicly available content hosted on social media and other media platforms. 

In 2022, Patrick Hillmann, chief communications officer at Binance, claimed in a blog post that scammers had made a deepfake of him based on previous news interviews and TV appearances, using it to trick customers and contacts into meetings.

Netskope’s Fairman said such risks had led some executives to begin wiping out or limiting their online presence out of fear that it could be used as ammunition by cybercriminals. 

Deepfake technology has already become widespread outside the corporate world.

From fake pornographic images to manipulated videos promoting cookware, celebrities like Taylor Swift have fallen victim to deepfake technology. Deepfakes of politicians have also been rampant.

Meanwhile, some scammers have made deepfakes of individuals’ family members and friends in attempts to fool them out of money.

According to Hogg, the broader issues will accelerate and get worse for a period of time as cybercrime prevention requires thoughtful analysis in order to develop systems, practices, and controls to defend against new technologies. 

However, the cybersecurity experts told CNBC that firms can bolster defenses to AI-powered threats through improved staff education, cybersecurity testing, and requiring code words and multiple layers of approvals for all transactions — something that could have prevented cases such as Arup’s. 

Clarification: This story has been updated to accurately reflect David Fairman’s title at Netskope.