Fraud operations driven by artificial intelligence exploded last year. The trend continues in 2025

A new report issued by Menlo Security (PDF) shows a 140 percent increase in browser -based hunting attacks over the past year, as well as a 130 percent increase in zero -hour rack attacks (i.e. new attacks that cannot be discovered for current detection tools).

There are several reasons for this explosive growth: our dependence on the browser in the workplace, the weaknesses of the zero day, the advanced clinic tools, and the increase in the adoption of artificial intelligence.

Criminals now use artificial intelligence to create reliable fishing sites, deceive users with fake artificial intelligence services, and automate targeted attacks. According to the security strategies Andrew Harding, advanced social engineering is combined with “deception as a service” and zero pressure. All signs indicate the acceleration of this trend in 2025.

The report also shows that fake artificial intelligence sites not only steal the login approval data. Many of them are deceived by users to download the affected PDFS, for example as part of the fake CV generation tools. On portable devices, the risks are greater as small screens and automatic washing red flags are hidden.

“In 2025, the cybersproof fraud will increase by AI, making it difficult to distinguish between legitimate and harmful sites …

… fraud activities such as fake artificial intelligence tools used to provide distinctive AI services will be used to steal login approved and personal data, or to redirect users to clinic models. Using user confidence through advanced social engineering techniques will be a key to targeting social media and search engines. “

It has never been more important than now to learn how to get to know the most common types of delicious fraud. Be looking for suspicious email messages, but it seems that, especially those of well-known companies such as PayPal-and triple checking before clicking on the links or downloading files. Always check the health of the web site before logging in with your accreditation data or detecting sensitive personal information.