Hate having a giant bulging wallet in your back pocket? This is the ONE you are looking for. Minimalist designed, slim and small, up to 3-4 cards and several cash notes, durable premium synthetic leather, looks beautiful, feels great.
It’s a great front pocket wallet, a small compact card holder, enough for your daily use, walking around, light travel, nearby shopping.
With RFID blocking layer, Keep your personal information safety; protect your credit/bank/ID card information from being remotely read by RFID scanners. Don’t become a victim of the silent crime of electronic pick pocketing
What is RFID?
– RFID: Radio-frequency identification, uses electromagnetic fields to automatically identify and track tags attached to objects. The tags contain electronically stored information. Our Credit/Bank/ID card, passport have encoded chips tags, and stored our personal/private information. So, we should protect them from information hacker and data thieves.
– Data thieves can read your private data of cards at a distance of 10ft(3m), using a RFID scanner. Now, this RFID signal blocking wallet can protect your personal/private information safety.
– This item can block signal from 10MHz to 30GHz. Credit/Debit/ID card, driver license, passport use the frequency of 13.56MHz. It won’t block signal from ID badge, some old hotel room cards or building access cards, which use a frequency of 125 kHz.
– GintaXen has been working in Leather craft for 12years, has many skillful artisans.
– Due to the monitor and light difference, the color will be slightly different from the pictures.
– Logo prints and package maybe a little different with pictures.
SMALL SIZE, NO PLACE for unfolded cash, ideal for when you only need to carry a few cards, can carry several FOLDED BILLS
CONVENIENT ID WINDOW CARD CASE, easy to be inserted and carried in your big wallet
DURABLE PREMIUM SYNTHETIC LEATHER, eco-friendly, minimalist style
4 x 2.8 inches, with 3 card slots and 1 ID window
RFID BLOCKING WALLET, with RFID Signal blocking layer, protects you from data crimes