Perceptual hashing, crucial for detecting and removing image-based sexual abuse (IBSA) online, faces vulnerabilities from low-budget inversion attacks based on generative artificial intelligence. We advocate implementing secure hash matching in IBSA removal tools to mitigate potentially fatal consequences.