The article discusses a dramatic increase in deepfake scams, highlighted in iProov's annual threat intelligence report. It reveals a 300% rise in face swap attacks during online meetings, alongside staggering increases in injection attacks targeting mobile web apps—783%—and a 2,665% surge in virtual camera software misuse. This evolution in scams, facilitated by sophisticated AI technology, demonstrates the growing complexity of identity verification challenges. Andrew Newell from iProov emphasizes the difficulty of detecting these scams due to the use of legitimate virtual camera applications to inject manipulated video feeds.
"The scale of this transformation is staggering," Newell claimed in the report's introduction, adding that iProov is tracking more than 120 tools actively being used to swap scammers' faces on live calls.
Miscreants can abuse the same software for nefarious purposes, such as pretending to be someone they aren't using AI. Because the video feed is created in a different app and injected via virtual camera software, it's much harder to detect, iProov chief scientific officer Andrew Newell told us.
Along with the claimed 300 percent surge in face swap attacks, iProov also claimed it tracked a 783 percent increase in injection attacks targeting mobile web apps.
Attacks relying on spoofed faces in online meetings surged by 300 percent in 2024, it is claimed.
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