Your work addresses how detection systems rely on consistent fingerprint-based signals to differentiate benign vs malicious actors. With attackers increasingly using benign-looking fingerprint profiles (device + behaviour + network) on social media, what metrics or signals (beyond simple fingerprinting) did you identify as resilient enough to still detect attacks? How do you see these evolving in the context of large-scale social media use?