Introduction Phishing and scams are dynamic types of online fraud that primarily target individuals, with cybercriminals constantly adapting their tactics to deceive people. Scammers invent new methods and improve old ones, adjusting them to fit current news, trends, and major world events: anything to lure in their next victim. Since our last publication on phishing tactics, there has been a significant leap in the evolution of these threats. While many of the tools we previously described are still relevant, new techniques have emerged, and the goals and methods of these attacks have shifted. In this article, we will explore: The impact of AI on phishing and scams How the tools used by cybercriminals have changed The role of messaging apps in spreading threats Types of data that are now a priority for scammers AI tools leveraged to create scam content Text Traditional phishing emails, instant messages, and fake websites often contain grammatical and factual errors, incorrect names and addresses, and formatting issues. Now, however, cybercriminals are increasingly turning to neural networks for help. They use these tools to create highly convincing messages that closely resemble legitimate ones. Victims are more likely to trust these messages, and therefore, more inclined to click a phishing link, open a malicious attachment, or download an infected file. Example of a phishing email created with DeepSeek The same is true for personal messages. Social networks are full…Read More