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Hackers are increasingly exploiting vulnerabilities in AI orchestration frameworks like LiteLLM and Model Context Protocol (MCP) to pivot from exposed gateways into broader cloud infrastructure. These attacks demonstrate that compromised AI agents can serve as high-privilege bridges for remote code execution, credential theft, and cryptomining, fundamentally shifting the security perimeter of AI deployments. The convergence of these specific CVEs highlights a critical need to secure the underlying software stacks that power agent workflows rather than treating them as isolated endpoints.
Hackers Target AI Infrastructure With RCE, Prompt Injection and API Key Theft
Hackers are actively probing AI systems, turning exposed gateways and agent tools into routes for remote code execution, credential theft, and cryptomining. AI infrastructure is now a cloud entry point. Over 90 days, attackers tailored techniques for services routing model traffic and connecting agents to tools. Campaigns paired exposed-server flaws with instructions that push agents […] The post Hackers Target AI Infrastructure With RCE, Prompt Injection and API Key Theft appeared first on Cyber Security News.
Hackers are actively probing AI systems, turning exposed gateways and agent tools into routes for remote code execution, credential theft, and cryptomining. AI infrastructure is now a cloud entry point. Over 90 days, attackers tailored techniques for services routing model traffic and connecting agents to tools. Campaigns paired exposed-server flaws with instructions that push agents to run commands and seek API keys. Researchers at Wiz.io identified sustained activity through honeypots mimicking AI services.…
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