AI/LLM Exploitation Challenges
AI, ML, and LLMs CTF Challenges.
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- Prompt Injection
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- 2026-10-10
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Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection arxiv.org
This paper explores the concept of Indirect Prompt Injection attacks on Large Language Models (LLMs) through their integration with various applications. It identifies significant security risks, including remote data theft and ecosystem contamination, present in both…
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How AI Prompt Injection Works | Hands-on with LLMs youtube.com
Jan 2026 AppSecEngineer tutorial with a code-level demo of injecting against a real LLM application and live testing of LLM Guard detection. One of the most practical end-to-end tutorials published to date.
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Securing AI Agents Against Prompt Injection Attacks arxiv.org
Nov 2025 benchmark of 847 adversarial test cases across 5 attack categories against 7 LLMs. The combined defense framework reduces attack success from 73.2% to 8.7% while retaining 94.3% of baseline task performance.
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LLMVault github.com
Self-hosted CTF-style training range for the OWASP LLM Top 10, with 25 labs across three tiers. Play Mode uses scripted assistants so flags reproduce every time; Live Mode points the same attacks at a real model on your own machine with the secret regenerated per session, so…
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Prompt Injection › CTF: “AI, ML, and LLMs CTF Challenges.”