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fix: ref to 2025 version
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GangGreenTemperTatum committed Nov 18, 2024
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The OWASP Top 10 for Large Language Model Applications project aims to educate developers, designers, architects, managers, and organizations about the potential security risks when deploying and managing Large Language Models (LLMs). The project provides a list of the top 10 most critical vulnerabilities often seen in LLM applications, highlighting their potential impact, ease of exploitation, and prevalence in real-world applications. Examples of vulnerabilities include prompt injections, data leakage, inadequate sandboxing, and unauthorized code execution, among others. The goal is to raise awareness of these vulnerabilities, suggest remediation strategies, and ultimately improve the security posture of LLM applications. You can read our [group charter](https://github.com/OWASP/www-project-top-10-for-large-language-model-applications/wiki/Charter) for more information

Review the official 2024 release ([Full Version](assets/PDF/OWASP-Top-10-for-LLMs-v2024.pdf) to understand work that has been done to date.
Review the official 2025 release ([Full Version](assets/PDF/OWASP-Top-10-for-LLMs-v2025.pdf) to understand work that has been done to date.

# 📢 New Document Release: Security & Governance Checklist

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### Top 10 for Large Language Model Applications Information
* [Lab Status Project](https://owasp.org/projects/)
* [Version 2024](assets/PDF/OWASP-Top-10-for-LLMs-v2024.pdf)
* [Version 2025](assets/PDF/OWASP-Top-10-for-LLMs-v2025.pdf)
* [Version 1.1.0 Translations](https://github.com/OWASP/www-project-top-10-for-large-language-model-applications/tree/main/assets/translations) (archived)
* [Version 1.1.0](assets/PDF/OWASP-Top-10-for-LLMs-2023-v1_1.pdf) (archived)
* [Version 1.0.1](assets/PDF/OWASP-Top-10-for-LLMs-2023-v1_0_1.pdf) (archived)
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