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Claude Code OAuth Token Theft via npm Supply Chain

Claude Code OAuth Token Theft via npm Supply Chain

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 SecurityWeek

Mitiga Labs has disclosed a stealthy attack chain targeting Claude Code's MCP infrastructure, allowing adversaries to silently intercept OAuth tokens by redirecting MCP traffic through attacker-controlled infrastructure. The attack requires only the ability to install a malicious npm package, which modifies ~/.claude.json to insert a proxy and pre-sets trust flags to suppress security prompts. Because the OAuth token grants broad access to all connected SaaS tools, successful exploitation effectively hands attackers a persistent master key to the victim's integrated development environment.

Loopsy AI Agent Relay Enables Cross-Machine RCE

Loopsy AI Agent Relay Enables Cross-Machine RCE

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 HN AI Security

Loopsy is an open-source tool enabling cross-machine communication between AI coding agents (Claude Code, Cursor, Codex) and mobile devices via a self-hosted Cloudflare Workers relay. While designed for legitimate developer productivity, the architecture introduces significant attack surface: a relay brokering shell access and AI agent commands across machines is a high-value target for interception, hijacking, or supply chain compromise. Security teams should assess exposure before deploying such tools in sensitive development environments.

Comment Injection Attacks Hit Claude Code, Gemini, Copilot

Comment Injection Attacks Hit Claude Code, Gemini, Copilot

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 SecurityWeek

A researcher has disclosed a novel prompt injection attack technique dubbed 'Comment and Control,' demonstrating that popular AI coding agents — including Claude Code, Gemini CLI, and GitHub Copilot Agents — can be manipulated through malicious instructions embedded in source code comments. The attack exploits the tendency of agentic coding tools to process and act upon contextual content within files they are tasked to read or modify. This represents a meaningful escalation in the risk surface of AI-assisted software development workflows.

Claude Code Source Leak Exposes 512K Lines of Code

Claude Code Source Leak Exposes 512K Lines of Code

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 HN AI Security

A packaging error exposed 512,000 lines of Claude Code's source, revealing severe code quality issues including a 3,167-line monolithic function, undocumented API waste, and regex-based sentiment analysis in an LLM product — raising questions about the security posture of AI-generated codebases. The disclosure highlights systemic risks when AI systems are used to self-develop production tooling without adequate human review or architectural oversight. These patterns represent meaningful supply chain and excessive agency concerns for enterprise users of Claude Code.

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