FasTrak, E-ZPass toll scams rise in Bay Area: Here's how to recognize smashing text
Several FasTrak and E-ZPass users in California, especially in the San Francisco Bay area, flagged a rise in a smashing text scam
Several FasTrak and E-ZPass users in California, especially in the San Francisco Bay area, flagged a rise in a smashing text scam. These residents reported receiving a text message that asked them to deposit money to their account. However, neither FasTrak nor E-ZPass sent these messages.

One message received by a California resident read: “You have an outstanding toll. Your toll account balance is outstanding. If you fail to pay by March 13, 2025. you will face penalties or legal action.” It further offered a link, asking the user to click for further details.
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The smashing text adds: “Please settle your toll immediately after reading this message to avoid penalties for delaying the payment. Thank you for your cooperation.”
Local authorities and toll agencies are sounding the alarm, urging drivers to stay vigilant. Here’s how these scams work and how to spot them:
The scam typically starts with a text claiming you owe money for unpaid tolls, often citing a specific amount like $4.87 or $12.50 to seem legitimate. The message might warn of escalating fines—say, $87.50 if unpaid by a deadline—and include a link to ‘settle’ the bill. Bay Area resident Maria Santos received one such text on March 29, 2025, demanding payment for a FasTrak toll she didn’t recall. “It looked so real, with a Bay Bridge mention and all,” she said. She clicked the link, entered her card details, and lost $400 to a drained account within hours.
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So, how do you recognize these smishing attempts? First, check the sender. Legitimate FasTrak or E-ZPass messages come from official shortcodes (like 12345), not random 10-digit numbers. Second, hover over any link—without clicking—to see the URL. Scams often lead to sketchy sites like “fastrak-pay[.]org” instead of the official “fastrak.org.” Third, watch for urgency or threats; real toll agencies don’t text dire warnings about instant fines. Finally, typos or odd phrasing—like “pay now or lose car”—are red flags.
ABOUT THE AUTHORYash Nitish BajajYash Bajaj is a Chief Content Producer with a strong foundation in US coverage, digital strategy, and audience-focused storytelling. As part of the US Desk at Hindustan Times, he covers a wide range of topics - from American politics to sports (NFL, NBA, derbies, MLB and more). Before joining Hindustan Times, Yash served as Deputy News Editor at Times Now, where he oversaw international coverage and led a team of six. In this role, he significantly expanded global traffic through strategic planning, SEO-driven content execution, and meticulous trend tracking across platforms. He is experienced in managing high-pressure breaking-news shifts, coordinating live coverage, and building newsroom systems that improve speed, accuracy, and reach. Prior to Times Now, Yash held a position at Opoyi, where he headed the Sports and US news team. He developed broad editorial strategies, guided reporters across multiple beats, and played a key role in recruiting and training new talent. His responsibilities also extended to social media management and experimenting with innovative content formats. A passionate NFL fan, Yash is a die-hard supporter of the Cincinnati Bengals and has followed Joe Burrow closely since his college days at LSU. Whether breaking down top players' latest performance, analyzing team performances, or tracking roster moves, he brings the same dedication and sharp storytelling to his sports coverage as he does to American politics and breaking news. When he’s not writing, Yash can often be found watching games or debating the latest NFL storylines with fellow fans. Yash holds a Bachelor of Mass Media (Journalism) from HR College, Mumbai University. His interests extend well beyond the newsroom: he is an enthusiastic explorer of AI tools, a movie buff with an ever-growing watchlist, and someone who enjoys unraveling conspiracy theories for fun.Read More

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