Thu. Dec 26th, 2024

On 7/22/2023, three suspects entered a department store at the 1400 block of E. First St. in Santa Ana during business hours and stole over $1,800 in merchandise.

(Editor’s note – the targeted store was likely the WSS store as the suspects are pictured with stolen Nike shoes).

The suspects fled in a gray, 4-door Hyundai sedan.

  • Suspect #1: Male, Hispanic, 30-40 years old, brown eyes, black hair, full goatee, wearing a red hat with the CA red symbol on the front, stud earrings, and 2 chain necklaces. He has full sleeve tattoos on both arms and unknown tattoos on his upper chest/lower neck area.
  • Suspect #2: Female, Hispanic, 20-30 years old, with black hair, wearing a black tank-top, blue jean, and fake designer sunglasses. She has butterfly tattoos on her upper left chest and shoulder area, and unknown tattoos on her right inner forearm
  • Suspect #3: Female, Hispanic, 20-30 years old, wearing a white long sleeve sweater and black jeans

Anyone with information on the identity or whereabout of the suspects and the vehicle is asked to contact Detective A. Castro at (714) 245-8345 or ACastro@santa-ana.org.

author avatar
Art Pedroza Editor
Our Editor, Art Pedroza, worked at the O.C. Register and the OC Weekly and studied journalism at CSUF and UCI. He has lived in Santa Ana for over 30 years and has served on several city and county commissions. When he is not writing or editing Pedroza specializes in risk control and occupational safety. He also teaches part time at Cerritos College and CSUF. Pedroza has an MBA from Keller University.

By Art Pedroza

Our Editor, Art Pedroza, worked at the O.C. Register and the OC Weekly and studied journalism at CSUF and UCI. He has lived in Santa Ana for over 30 years and has served on several city and county commissions. When he is not writing or editing Pedroza specializes in risk control and occupational safety. He also teaches part time at Cerritos College and CSUF. Pedroza has an MBA from Keller University.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.