Hackers are using LLMs to build next-generation phishing attacks

Cybersecurity experts warn that hackers are leveraging large language models (LLMs) to create sophisticated phishing attacks. These AI tools enable the generation of phishing pages on the spot, potentially making scams more dynamic and harder to detect. The trend highlights evolving threats in digital security.

In a recent article published by TechRadar on January 26, 2026, the use of large language models (LLMs) by hackers to develop advanced phishing techniques is spotlighted. The piece, titled 'Hackers are using LLMs to build the next generation of phishing attacks - here's what to look out for,' explores how these AI systems could automate and customize phishing efforts in real time.

The description poses a key question: 'What if a phishing page was generated on the spot?' This suggests a shift from static phishing sites to dynamically created ones, which could adapt to user inputs or contexts, increasing their effectiveness.

While specific examples or defenses are not detailed in the available excerpt, the article aims to inform readers on vigilance against such emerging threats. As LLMs become more accessible, cybersecurity measures must evolve to counter AI-assisted attacks, emphasizing the need for user awareness and robust detection tools.

관련 기사

Illustration of a hacker using AI to swiftly build VoidLink malware targeting Linux cloud servers, featuring rapid code generation and infiltrated systems.
AI에 의해 생성된 이미지

AI-assisted VoidLink malware framework targets Linux cloud servers

AI에 의해 보고됨 AI에 의해 생성된 이미지

Researchers at Check Point have revealed that VoidLink, a sophisticated Linux malware targeting cloud servers, was largely built by a single developer using AI tools. The framework, which includes over 30 modular plugins for long-term system access, reached 88,000 lines of code in under a week despite plans suggesting a 20-30 week timeline. This development highlights AI's potential to accelerate advanced malware creation.

Cybersecurity experts are increasingly alarmed by how artificial intelligence is reshaping cybercrime, with tools like deepfakes, AI phishing, and dark large language models enabling even novices to execute advanced scams. These developments pose significant risks to businesses in the coming year. Published insights from TechRadar underscore the scale and sophistication of these emerging threats.

AI에 의해 보고됨

2025년 필리핀의 사이버 위협은 피싱과 랜섬웨어 같은 전통적 방법에 머물렀으며 새로운 형태는 등장하지 않았다. 그러나 인공지능이 이러한 공격의 양과 규모를 증폭시켜 '사이버 범죄의 산업화'를 초래했다. 여러 사이버 보안 업체의 보고서는 사건의 속도, 규모, 빈도의 증가를 강조한다.

A new study from Brown University identifies significant ethical concerns with using AI chatbots like ChatGPT for mental health advice. Researchers found that these systems often violate professional standards even when prompted to act as therapists. The work calls for better safeguards before deploying such tools in sensitive areas.

AI에 의해 보고됨

A Cornell University study reveals that AI tools like ChatGPT have increased researchers' paper output by up to 50%, particularly benefiting non-native English speakers. However, this surge in polished manuscripts is complicating peer review and funding decisions, as many lack substantial scientific value. The findings highlight a shift in global research dynamics and call for updated policies on AI use in academia.

A tech enthusiast shares their experience using Linux to run local large language models, claiming it is simpler than on Windows. They highlight the ability to access a ChatGPT-like interface directly in the terminal. The article was published on March 10, 2026.

AI에 의해 보고됨

The Linux Foundation has introduced a new instructor-led workshop focused on deploying small language models in various environments. Titled 'Deploying Small Language Models (LFWS307)', the course offers hands-on training across multiple platforms. Enrollment is now open for this live session.

 

 

 

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