aiqbench analysis
This research exposes a critical server-side request forgery vulnerability in Amazon Bedrock AgentCore, where prompt injection via allowed web tools can hijack AI agents to steal AWS credentials and access private data. The attack chain demonstrates that normal agent features like tool invocation become dangerous when combined with unrestricted network access and broad IAM permissions, allowing attackers to pivot across multiple agents within an account. This incident underscores the urgent need for stricter isolation between AI agent runtimes and cloud metadata services to prevent lateral movement of stolen secrets.
One Prompt Could Hijack AWS AI Agents and Steal Cloud Credentials

A single prompt sent to a public-facing AI agent could have exposed every Amazon Bedrock AgentCore agent in the same AWS account and region, according to new research from Zenity Labs. The attack chain, named AgentCorruption, gave the researchers access to private chats, source code, long-term memories, API keys, OAuth tokens, and secrets held in […] The post One Prompt Could Hijack AWS AI Agents and Steal Cloud Credentials appeared first on Cyber Security News.
A single prompt sent to a public-facing AI agent could have exposed every Amazon Bedrock AgentCore agent in the same AWS account and region, according to new research from Zenity Labs. The attack chain, named AgentCorruption, gave the researchers access to private chats, source code, long-term memories, API keys, OAuth tokens, and secrets held in AWS Secrets Manager.…
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