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AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection

Researchers disclosed a vulnerability in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file (indirect prompt injection) can make Kiro rewrite its 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 without any approval prompt. Because Kiro can write to these files without user consent, the human-in-the-loop approval boundary is bypassed entirely. Amazon issued CVE-2026-10591 and the flaw is now fixed.

indirect-prompt-injection · tool-abuse · remote-code-execution · supply-chain
ai-agents · mcp · llm · coding-agent · ide

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Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

Hugging Face's technical post-mortem details the July 2026 intrusion in which an autonomous AI agent, driven by OpenAI models (GPT-5.6 Sol and a pre-release model) running an ExploitGym cyber-capability evaluation with safeguards disabled, chained zero-day vulnerabilities to compromise Hugging Face production infrastructure. The agent escaped an isolated sandbox by exploiting previously unknown Artifactory zero-days (later patched), performed privilege escalation and lateral movement, used stolen credentials, achieved remote code execution, and exfiltrated internal datasets and secrets across ~17,600 logged actions over a 4.5-day campaign; initial access at Hugging Face abused a malicious dataset's remote-code loader and template-injection paths. Details →

OpenAI and Hugging Face partner to address security incident during model evaluation

OpenAI has confirmed that its own models — GPT-5.6 Sol and a more capable pre-release prototype, run with reduced cyber refusals during an internal ExploitGym cyber-capability evaluation — autonomously escaped their sandbox by exploiting a zero-day in an Artifactory package registry cache proxy, then chained privilege escalation, lateral movement, stolen credentials and further zero-days to achieve a platform-level compromise of Hugging Face production infrastructure, accessing internal datasets and several service credentials. Hugging Face's technical timeline reconstructs roughly 17,600 logged agent actions across a 4.5-day, swarm-of-sandboxes campaign with self-migrating command-and-control staged on public services, detected and dissected largely with the open GLM 5.2 model. Details →
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