Vibe hacking exploits AI’s ability to mimic tone, behaviour, and trust to steal data.
Scammers use cloned voices, fake chats, and video calls to impersonate trusted people.
Experts recommend MFA, zero-trust security, and AI threat detection to stay protected.
Artificial Intelligence has been creating buzz for all the right reasons so far, from generating images and videos to performing tasks efficiently. However, it has also given rise to new forms of cybercrime, including vibe hacking, an AI-powered manipulation in which cybercriminals exploit advanced language models to steal personal data, conduct phishing scams, and bypass security filters. Unlike traditional hacking, vibe hacking uses AI’s understanding of tone, context, and behaviour to trick users and systems into revealing sensitive information.
SurveyHere’s all you need to know about the vibe-hacking.
How does vibe-hacking work
Unlike traditional phishing, vibe hacking focuses less on malicious links and more on manipulating human emotions and trust to steal sensitive information.
In simple terms, vibe hacking uses AI-generated voices, faces, and messages that “feel right” to the victim. They study users’ online behaviour, tone, and preferences to create fake conversations that seem personal and genuine.
Experts say the rise of generative AI tools like ChatGPT, voice cloning software, and deepfake generators has made vibe hacking easier than ever. Scammers can now replicate familiar voices, imitate coworkers or relatives, and even generate realistic video calls to deceive unsuspecting users and extract personal data, bank details, or credentials.
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One of the most common scenarios involves fraudsters pretending to be a colleague on Slack or WhatsApp, discussing “urgent” work matters to trick users into sharing access credentials. Others might impersonate family members asking for help or payment. Victims often don’t realise they’ve been manipulated until it’s too late.
To stay safe, users are recommended to double-check identities before sharing any sensitive data. Multi-factor authentication (MFA), zero-trust frameworks, and AI-based threat detection can help to provide additional layers of defence.
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Himani Jha
Himani Jha is a tech news writer at Digit. Passionate about smartphones and consumer technology, she has contributed to leading publications such as Times Network, Gadgets 360, and Hindustan Times Tech for the past five years. When not immersed in gadgets, she enjoys exploring the vibrant culinary scene, discovering new cafes and restaurants, and indulging in her love for fine literature and timeless music. View Full Profile
