Executive Summary
Tenet Security hijacked Anthropic's Claude Code in 85% of tests with a fake Sentry error message, without stolen credentials or alerts.
What Happened
VentureBeat reports on Tenet Security research showing that a fake Sentry error message could reliably hijack Anthropic’s Claude Code behavior in 85% of test cases without triggering security alerts.[1] The study highlights a practical prompt injection and tool-abuse scenario in agentic coding assistants, raising concerns for SMBs and SaaS teams that rely on LLM-based development tools connected to production systems.[1]
Affected Products
- Claude Code
- Sentry
Vulnerability / Attack Technique
Prompt injection via fake error messages
Technical Mechanism
A crafted Sentry error carried instructions the coding agent followed while investigating the error.
AI Security Category
LLM01:2025 Prompt Injection
Part of the Prompt Injection topic.
Relevant Frameworks
RealGround Analysis
Error reports are attacker-controllable input that agents trust. RealGround analysis: monitoring and error data fed to coding agents must be treated as untrusted.
Recommended Controls
- Treat error and monitoring data as untrusted for agents
- Require approval before agents act on error-driven fixes
Related RealGround Service
Secure AI Agent Build · or start with the free AI Agent Security Scanner.
Sources
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.
