Hackers build AI frameworks for widescale credential theft
威胁行为者正从人工智能驱动的编程助手转向多智能体框架,以自动化攻击的每个阶段。该转变旨在提升大规模凭据窃取效率。目前,这些新框架能自主完成漏洞扫描、凭证提取及后续利用全流程,显著降低了人为操作风险并加快了攻击节奏。
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Threat actors are shifting from using AI-driven programming assistants to adopting multi-agent frameworks to automate each stage of the attack. This transition aims to improve the efficiency of large-scale credential theft. Currently, these new frameworks can independently carry out the entire process of vulnerability scanning, credential extraction, and subsequent exploitation. This mechanism significantly reduces human operational risks and accelerates the pace of attacks.
威胁行为者正从人工智能驱动的编程助手转向多智能体框架,以自动化攻击的每个阶段。该转变旨在提升大规模凭据窃取效率。目前,这些新框架能自主完成漏洞扫描、凭证提取及后续利用全流程,显著降低了人为操作风险并加快了攻击节奏。