AI Sandbox Flaws: Data Theft & RCE Risks Unveiled
A new investigation reveals that popular AI development platforms—Amazon Bedrock, LangSmith, and SGLang—contain sandbox design flaws that can be abused to steal data and launch remote code execution attacks. The findings highlight how DNS queries can become covert channels for exfiltrating sensitive information from AI code‑execution environments. The report, authored by security firm BeyondTrust, demonstrates a practical exploit against Amazon Bedrock's AgentCore interpreter, showing how attackers can gain an interactive shell and move laterally within a target network. These revelations underscore the urgent need for stronger isolation and monitoring in AI‑driven workloads.
By Gourav Rajput

















