A drone is an Unmanned Aerial Vehicle (UAV) capable of remote or automated piloting. In today’s digital age, drones are not only utilized for military and logistical purposes but are also increasingly employed in criminal endeavors such as state-sponsored terrorism, drug trafficking, illegal arms trade, and espionage. Addressing these illicit uses of drones requires effective detection and identification methods. Various techniques exist for drone detection, including RADAR, acoustic, visual, and radio frequency (RF) signals. This work focuses on the challenges and opportunities of using RF-based drone forensic investigations to combat criminal drone activities. The study provides an in-depth review of existing drone forensic models. It offers a comprehensive examination of existing drone forensic models, highlighting current research hurdles, potential strategies, and opportunities in RF-based drone forensics. Additionally, the study presents a model for RF-based drone identification.