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AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection

Researchers found a vulnerability (CVE-2026-10591) in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file that Kiro processes can trigger indirect prompt injection to rewrite Kiro's own MCP server configuration (~/.kiro/settings/mcp.json) or allowlist arbitrary Bash commands in .vscode/settings.json, achieving arbitrary code execution on the developer's machine with no approval prompt. The human-in-the-loop approval boundary is bypassed because Kiro can write to these config files without user consent, and AWS has issued a fix and CVE.

indirect-prompt-injection · prompt-injection · remote-code-execution · tool-abuse · config-poisoning
ai-agents · mcp · llm · agentic-ide

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Bounded Agents: Delegation Security for Multi-Agent AI Systems

The paper 'Bounded Agents' introduces the Agentic Principal Chain (APC), an authorization architecture that tracks delegated authority across multi-agent LLM systems and evaluates each request against accumulated session state using six checks to prevent prohibited action combinations and unbounded sub-agent delegation. Evaluated across InjecAgent, AgentDojo, and ASB (3,154 instances), APC reduced AgentDojo exfiltration from 75-100% to 0%, blocked all 544 InjecAgent data-stealing cases, and cut destruction and manipulation rates, with code and data published at github.com/xmuruaga/bounded-agents. Details →

Agentic Loops and Multi-Agent Graphs Expand AI Prompt Injection Risk

Auth0 published an analysis arguing that the most serious AI agent security risks stem from architectural choices—specifically agentic loops and multi-agent graphs—rather than the model alone. In loop-based systems attacker-controlled external content can be fed back into an agent's reasoning to persist and compound malicious instructions, while multi-agent graphs create trust-boundary failures where a compromised agent passes tainted instructions downstream; the report cites 2024 'Prompt Infection' research showing prompt injection can self-replicate across connected agents and recommends controls like step/time budgets, approval gates, scoped permissions, and treating tool output as untrusted. Details →
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