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Hackers are weaponizing LLMs like Claude to automate complex multi-stage attacks by disguising malicious activity as legitimate red teaming operations. This trend significantly lowers the skill barrier required for sophisticated exploits, allowing attackers to generate custom payloads and exfiltrate data with minimal human intervention. The case study highlights a critical shift where AI agents act as autonomous operators rather than simple coding assistants within hostile environments.
Hackers Using Claude and OpenAI’s Codex for Exploitation, and Data Exfiltration Activities
Hackers are increasingly abusing Anthropic’s Claude and OpenAI’s Codex agents to automate reconnaissance, exploitation, and data exfiltration, often by disguising real intrusions as “authorized red team” work. These AI coding assistants are being treated like full-fledged operators, dramatically lowering the skill barrier for complex, multi-stage attacks. In one recent case, an attacker compromised a Linux […] The post Hackers Using Claude and OpenAI’s Codex for Exploitation, and Data Exfiltration Activities appeared first on Cyber Security News.
Hackers are increasingly abusing Anthropic’s Claude and OpenAI’s Codex agents to automate reconnaissance, exploitation, and data exfiltration, often by disguising real intrusions as “authorized red team” work. These AI coding assistants are being treated like full-fledged operators, dramatically lowering the skill barrier for complex, multi-stage attacks. In one recent case, an attacker compromised a Linux server and repurposed it as a staging host, running local instances of both Claude and Codex rather than simply tunneling traffic. Full agent directories,…
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