aiqbench analysis
This report details a significant operational shift where commercial LLMs like Claude and Qwen are weaponized as autonomous agents to coordinate reconnaissance, exploit testing, and data exfiltration within traditional cyberattack frameworks. While the underlying vulnerabilities remain conventional, AI now provides the context retention and task division necessary to accelerate intrusion timelines and manage complex multi-stage campaigns. This underscores an urgent need for organizations to review exposure management and credential protection strategies specifically against AI-driven automation tactics.
Hackers Turn Claude, Qwen and DeepSeek Into AI Agents for Real-World Cyberattacks
Hackers have turned commercial AI models into working parts of a cyberattack operation. The campaign paired AI-directed tasking with familiar methods such as vulnerable public-facing servers, stolen credentials, webshells, and custom remote-access malware. The operation reached Taiwan’s Kuomintang Party History Archives, Indonesia’s Ministry of Foreign Affairs, and government and education networks in mainland China. A […] The post Hackers Turn Claude, Qwen and DeepSeek Into AI Agents for Real-World Cyberattacks appeared first on Cyber Security News.
Hackers have turned commercial AI models into working parts of a cyberattack operation. The campaign paired AI-directed tasking with familiar methods such as vulnerable public-facing servers, stolen credentials, webshells, and custom remote-access malware. The operation reached Taiwan’s Kuomintang Party History Archives, Indonesia’s Ministry of Foreign Affairs, and government and education networks in mainland China. A confirmed breach hit a Fengtai District government environment, exposing administrative and health records, collecting Windows credentials, and deploying implants. Analysts at Hunt.io identified the activity after examining exposed attacker directories and tracing a shared SOCKS proxy across five connected workspaces. Pivoting on…
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