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Engineer automates Florida vanity plate checks using TypeScript to bypass paywall

A developer used TypeScript to scrape Florida’s DMV site for rare license plate availability after discovering no rate limits on requests

WHY IT MATTERS

This demonstrates how even basic automation can exploit gaps in legacy government web systems. For engineers, it highlights the risks of relying on client-side security measures like ASP.NET’s EVENTVALIDATION without server-side rate limiting. The approach could be replicated for other public lookup tools with weak protections

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The three things worth knowing

01

Florida’s DMV vanity plate checker lacked rate limiting or CAPTCHA, enabling automated scraping

02

TypeScript was used to extract and reuse ASP.NET form tokens for repeated requests

03

The method bypassed PlateRadar’s paywall for rare plate data, showing vulnerabilities in public sector web tools

THE READ

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ORIGINAL ANALYSIS

The event centers on an engineer exploiting a gap in Florida’s DMV vanity plate lookup tool. The site, built on ASP.NET Web Forms, used client-side security tokens (VIEWSTATE, EVENTVALIDATION) to prevent forged submissions. However, the absence of server-side rate limiting or CAPTCHA allowed automated requests to proceed unchecked. This oversight enabled the engineer to script repeated queries using TypeScript, effectively bypassing the need for PlateRadar’s paid service

The technical approach relied on two key observations. First, the DMV site returned all necessary form tokens in a single initial request, eliminating the need for repeated round-trips. Second, the lack of IP-based throttling or WAF rules meant the script could submit hundreds of requests per minute without interruption. The engineer’s use of Burp Suite to inspect the request structure underscored how easily such systems can be reverse-engineered when security relies on obscurity rather than enforcement

For engineers, this case illustrates the fragility of legacy web frameworks in high-value public systems. ASP.NET’s EVENTVALIDATION, while designed to prevent tampering, becomes ineffective without complementary server-side protections. The incident also raises questions about the scalability of such tools, Florida’s DMV likely never anticipated automated queries, but the lack of safeguards made abuse inevitable. Similar vulnerabilities could exist in other state or municipal systems with outdated web infrastructure

The broader implication is the ease with which automation can disrupt services that assume manual user interaction. PlateRadar’s paywall, for example, assumes users won’t invest time in building custom scrapers. Yet, as shown here, a single engineer with TypeScript and basic HTTP knowledge can undermine that model. This underscores the need for rate limiting, anomaly detection, or even simple CAPTCHAs in systems handling sensitive or monetized data

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