iProov

Face Swap attacks surged 300% compared to 2023, with threat actors focusing on systems using liveness detection protocols.

48% of people don’t know how to report deepfakes.

Just one in four search for alternative information sources if they suspect a deepfake.

49% of people trust social media less after learning about deepfakes.

There was a 704% increase in face swaps (a type of deepfake).

Deepfake videos are more challenging to identify than deepfake images; participants were 36% less likely to correctly identify a synthetic video compared to a synthetic image.

Native Virtual Camera attacks increased by 2665%, partly because of mainstream app store infiltration.

68% of people are most concerned about "fake news" and misinformation.

74% of people worry about the societal impact of deepfakes.

29% of people take no action when encountering a suspected deepfake.

Only 0.1% of participants could accurately distinguish real from fake content across all stimuli.

Only one in five would report a suspected deepfake to social media platforms.

22% of consumers had never even heard of deepfakes before the study.

Over 60% of people remained overly confident in their deepfake detection skills, regardless of their accuracy.

Only 11% of people critically analyse the source and context of information to determine if it’s a deepfake.

30% of 55-64 year olds and 39% of those aged 65+ had never even heard of deepfakes.

The online crime-as-a-service ecosystem grew to nearly 24,000 users selling attack technologies.

Just 0.1% of participants in a recent iProov study could reliably distinguish real from fake content.

According to the Federal Trade Commission’s Consumer Sentinel Network, over $10 billion was lost to identity theft in 2023, with notable settlement costs for organisations exceeding $350 million per breach.