Error messages in the Model Context Protocol can be systematically mutated across seven dimensions to triple indirect prompt injection success rates, reaching up to 100% compliance on four frontier models.
In-browser llm-guided fuzzing for real-time prompt injection testing in agentic ai browsers
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
No existing AI security framework covers a majority of the 193 identified multi-agent system threats in any category, with OWASP Agentic Security Initiative achieving the highest overall coverage at 65.3%.
citing papers explorer
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VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation
Error messages in the Model Context Protocol can be systematically mutated across seven dimensions to triple indirect prompt injection success rates, reaching up to 100% compliance on four frontier models.
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Security Considerations for Multi-agent Systems
No existing AI security framework covers a majority of the 193 identified multi-agent system threats in any category, with OWASP Agentic Security Initiative achieving the highest overall coverage at 65.3%.