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An Empirical Evaluation of Prompt Injection Vulnerabilities in Large Language Models Across Multilingual and Obfuscated Attack Scenarios

An empirical evaluation of six state-of-the-art LLMs under diverse adversarial prompt scenarios, including direct and multi-stage obfuscated attacks across multiple languages and character encodings reveals systematic vulnerabilities across all tested models.