Steganography has been used to prevent unauthorized access to private information during transmission. It is the scheme of securing sensitive information by concealing it within carriers such as digital images, videos, audio, or text. Current steganography methods are working by assigning a cover le then embed the payload within it by making some modi cations, creating the stego-le. However, the left traces that are caused by these modi cations will make steganalysis algorithms easily detect the hidden payload. Aiming to solve this issue, a novel, highly robust steganography method based on hacking anti-shoplifting systems has proposed to hide data within clothes. The anti-Shoplifting system is an anti-theft security system that protects goods and products, leaving the store in an illegal way (i.e., without paying for them). The proposed method works by modifying the default anti-shoplifting system by changing its built-in soft RFID (radio-frequency identi cation) tags sewn in clothes into NFC (Near Field Communication) tags. These NFC tags are smart tags that can communicate with NFC-Enabled smart-phones using NDEF (NFC Data Exchange Format). NDEF is one of the advancements added to RFID technology by NFC, which allows the data exchange. Every NDEF message has one/more NDEF records that contain record type, a unique ID, a length, and a payload of data that contains the secret message content that can be any type of data that ts in a byte stream. Based on NDEF and NFC-enabled smart-phones, the proposed method will take the secret message from the sender, make use of his NFC-enabled smart-phone to communicate with the NFC tag, then hide the secret message within the NDEF's payload of the NFC tag stuck in clothes. Finally, to evaluate the proposed method, it has been compared with default (digital) steganography weak points. Such as time, lockable, robustness, attacks, capacity, and a few more points. The results and comparisons showed that the proposed method is more ef cient than default (digital) steganography and has many advantages.