Federated learning (FL) is susceptible to backdoor attacks.Existing academic studies rely on a high proportion of real clients, which is impractical in real-world industrial scenarios.DarkFed presents a practical FL backdoor attack by emulating fake clients and using a shadow dataset.Covert backdoor updates are strategically constructed to evade detection by defenses.