Cisco ‘warns’ hackers are using Claude Code, Codex, Cursor and Gemini AI models
Hackers are using advanced generative AI models to create malware and automate cyberattacks. Researchers found threat actors easily bypass AI safety guardrails using simple social engineering tactics. These same AI capabilities designed for security are now being manipulated by malicious actors. Attackers also leverage stolen credentials to run operations on corporate computing power.…
A report from Cisco’s Talos intelligence group warns that hackers are exploiting top generative AI models—Claude Code by Anthropic, Codex by OpenAI, Cursor and Gemini developed by Google—to create malware, automate cyberattacks and find software vulnerabilities. By analyzing exposed prompt histories and chat logs, researchers observed threat actors bypassing safety guardrails on these tools.
Simple social engineering tactics were employed to circumvent the built-in safety filters of commercial AI models. Threat actors commonly pretended to be participating in authorized “ethical hacking” competitions, claimed administrative permissions, or started new chat sessions mid-task to bypass safety blocks. According to Nick Biasini, senior technical leader at Cisco Talos, these straightforward techniques were sufficient to exploit the models.
Biasini noted the models face a challenge in accommodating legitimate vulnerability researchers and red teaming professionals while also protecting against malicious actors.
In addition to bypassing safety prompts, some attackers used stolen enterprise API tokens and compromised accounts to run their operations on corporate compute power instead of incurring costs for their own infrastructure. Cybersecurity experts advise organizations not to rely solely on model-level protections, as standard AI guardrails can be easily circumvented with simple social engineering prompts.
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