Chinese phishing groups are now sending scam SMS messages about unclaimed tax refunds and rewards points, aiming to steal payment card data. They create fake e-commerce sites that look legitimate, making it difficult for consumers to spot the fraud until it's too late. Experts warn that this increase in scams often coincides with the holiday shopping rush.

Eric Moret recounts a near miss with a sophisticated phishing attempt that exploited Apple’s support system. He details how scammers manipulated legitimate security protocols to gain access to his account, highlighting the psychological tactics used to deceive him.

Scammers are using fake comments on LinkedIn posts to impersonate the platform and trick users into clicking malicious links. These comments falsely claim account restrictions and utilize LinkedIn's branding and URL shortener to appear legitimate. LinkedIn is aware of the issue and advises users to report suspicious activity.

Google is leveraging advancements in AI to combat online scams across its platforms, including Search, Chrome, and Android. By enhancing their detection systems and implementing on-device models like Gemini Nano, they aim to significantly reduce scams such as phishing, tech support fraud, and deceptive notifications while adapting to new threats in real-time.

Discord users are at risk from a new phishing attack involving invite link hijacking, which leads to the installation of malware on victims' devices. The attack exploits the trust users place in Discord links, making it crucial for users to verify the authenticity of links before clicking. Security experts recommend staying vigilant and using protective measures to avoid falling victim to such scams.

AI Browsers are rapidly being integrated into everyday tasks, but their lack of security measures exposes users to new scams, termed "Scamlexity." Tests revealed that these AI systems can easily fall victim to phishing attacks and fraudulent websites, with serious implications for user safety as they become the primary decision-makers in online interactions. Without robust guardrails, the convenience of Agentic AI could lead to significant financial and personal data losses for users.