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AI · LINUX · difficulty 3 · ~20 min · 11 steps
Someone seeded your abuse-detection model to wave their own attacks through.
Your abuse-detection classifier retrains nightly on reports from the moderation queue. Since the last retrain it has been passing a specific family of phishing messages as clean — the exact family flooding your users right now. The model was not touched. Its training data was. Someone poisoned the queue with mislabelled examples so the next model learned to ignore their attack. Find the poisoned batch, filter it out, and retrain from clean data.