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title
OWASP Top 10 for LLM Applications
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Learn more at llmtop10.com
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OWASP | Top 10 for Large Language Model Applications Top 10 List Intro Resources News Contributors References OWASP on GitHub LLM Project Page OWASP Foundation OWASP Top 10 for LLM Applications This document is the latest exciting chapter in the ongoing efforts to enhance security in the rapidly evolving field of artificial intelligence. Download Now LLM01 Prompt Injection Crafty inputs can manipulate a Large Language Model, causing unintended actions. Direct injections overwrite system prompts, while indirect ones manipulate inputs from external sources. LLM02 Insecure Output Handling This vulnerability occurs when an LLM output is accepted without scrutiny, exposing backend systems. Misuse may lead to severe consequences like XSS, CSRF, SSRF, privilege escalation, or remote code execution. LLM03 Training Data Poisoning This occurs when LLM training data is tampered, introducing vulnerabilities or biases that compromise security, effectiveness...
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