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The FBI warns people are using DeepFakes to apply for remote tech jobs

When you hire someone you give them money, as in a wage, and access to your systems, so what happens when those people aren't who they seem to be?

Key takeaways

  • The FBI wrote to its Internet Crime Complaint Center Tuesday that it has received multiple complaints of people using stolen information and deepfaked video and voice to apply to remote tech jobs.
  • The FBI was among several federal agencies to recently warn companies of individuals working for the North Korean government applying to remote positions in IT or other tech jobs in May.
  • AI meant to detect altered video could range in accuracy from 30 to 97%, according to a recent report by researchers from Carnegie Mellon University.
Cite or link to this article

Griffin, M. (2022) 'The FBI warns people are using DeepFakes to apply for remote tech jobs', 311 Institute, 28 June. Available at: https://www.311institute.com/the-fbi-warns-people-are-using-deepfakes-to-apply-for-remote-tech-jobs/ (Accessed: 1 October 2026).

DeepFakes, which can be broadly described as the use of Artificial Intelligence (AI) to alter and manipulate video in order to make people say things they haven’t, can be fun but increasingly they’re being used by criminals to scam people out of Bitcoin, and by governments to spread lies, discredit people, and falsify GIS data. Among lots of other things. But one thing you might not have expected is to find deepfakes being used to scam companies for jobs.

As a result of this new threat companies hiring for open positions might need to do more than scrutinise how prospective employees react to the question “What is your worst quality?” - if the prospective hire sneezes or coughs without moving their lips then their worst quality might be that they’re not actually real.

The FBI wrote to its Internet Crime Complaint Center Tuesday that it has received multiple complaints of people using stolen information and deepfaked video and voice to apply to remote tech jobs.

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According to the FBI’s announcement, more companies have been reporting people applying to jobs using video, images, or recordings that are manipulated to look and sound like somebody else. These fakers are also using personal identifiable information from other people - stolen identities - to apply to jobs at IT, programming, database, and software firms. The report noted that many of these open positions had access to sensitive customer or employee data, as well as financial and proprietary company info, implying the imposters could have a desire to steal sensitive information as well as a bent to cash a fraudulent paycheck.

What isn’t clear is how many of these fake attempts at getting a job were successful versus how many were caught and reported. Or, in a more nefarious hypothetical, whether someone secured an offer, took a paycheck or stole confidential company data and IP, and then got caught.

Either way these applicants were apparently using voice spoofing techniques during online interviews where lip movement did not match what’s being said during video calls, according to the announcement. Apparently, the jig was up in some of these cases when the interviewee coughed or sneezed, which wasn’t picked up by the video spoofing software.

The FBI was among several federal agencies to recently warn companies of individuals working for the North Korean government applying to remote positions in IT or other tech jobs in May. In those cases, fake workers often bid on remote contract work through sites like Upwork or Fiverr using fake documentation and references.

In cases like those described in the federal agencies’ May report, some fake operators worked through several layers of shell companies, making it much harder to discern their identity.

Though the technology has come a long way some of the more amateur attempts at deepfakes often result in faked voices that barely match up with speakers’ mouths. Other, professionally produced deepfakes can make a much better attempt at generating a realistic seeming human.

And it’s not so easy to detect a fake video as you might think, especially if you’re not looking for it. AI meant to detect altered video could range in accuracy from 30 to 97%, according to a recent report by researchers from Carnegie Mellon University. There are ways for humans to detect fake video, especially once they’re trained to watch for certain visual glitches such as shadows that don’t behave as they should or skin texture that doesn’t seem accurate, but for now the FBI are asking companies who suspect a fake applicant to report it to the complaint center site.

FAQ

Why does this matter?

When you hire someone you give them money, as in a wage, and access to your systems, so what happens when those people aren't who they seem to be?

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. PSA220628 ic3.gov
  2. How easy is it to make and detect a deepfake insights.sei.cmu.edu
  3. detect fake video media.mit.edu
  4. complaint center site ic3.gov

Source: first published by the 311 Institute on 28 June 2022. Cite as: Griffin, M. (2022). The FBI warns people are using DeepFakes to apply for remote tech jobs. 311 Institute. https://www.311institute.com/the-fbi-warns-people-are-using-deepfakes-to-apply-for-remote-tech-jobs/

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