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AgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI Agents

AI agents combine language models with external data and tools that can modify files, call APIs, or execute code. Security failures can arise when adversarial content changes an agent's tool use or when the surrounding software contains vulnerabilities such as path traversal or command injection. We study authorized white-box pre-deployment auditing, where the auditor has access to the target…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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AI Subagents orchestration are now reliable

Since the end of 2025, I've been thinking a lot about how to improve my development workflow with AI agents. Like many developers, I started using agents in their simplest form: manually.

  • AI subagents now reliable for task delegation in 2025
  • Developers can design processes around Codex subagent orchestration
  • Repository-level context enhances AI agent performance

Grok's Wallet Drained by Morse Code: Inside an AI Agent Goal Hijack

Someone posted Morse code on X and walked away $150,000-$200,000 richer in crypto. No exploit, no zero-day, no clever RCE chain.

  • $150,000 transferred via Morse code to Grok AI agent
  • Malicious content disguised as harmless Morse code and obfuscated Python
  • Attack exemplifies OWASP ASI01: Agent Goal Hijack risk

How AI Is Building a Digital Twin of the Earth

For most of human history, studying Earth meant looking backward. Scientists collected observations, reconstructed what happened, built mathematical models, and used those models to estimate what…

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