AI security lab · Supply Chain Attacks
Open-source datasets on platforms like GitHub accept community contributions. A subtle data poisoning attack can be hidden in a pull request that adds or modifies training examples. **Challenge:** An open-source NLP dataset accepts community PRs to add training examples. Craft a poisoned PR that introduces biased training data while appearing to be a legitimate contribution, passing automated quality checks.
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Technique
Dataset Poisoning via Pull Request
OWASP LLM Top 10 (2025)
LLM03 Supply Chain
Step 1
A live AI target
Each lab is a real language model with its own instructions, guardrails and a secret flag it must protect.
Step 2
You attack it
Talk to it like a red teamer would. Craft prompts, chain techniques and use hints if you get stuck.
Step 3
Capture the flag
Get the model to reveal the flag to solve the lab, earn XP and climb the leaderboard.
Step 4
Then defend it
In labs with Defense Mode, write the hardened system prompt that blocks the attack you just used.