Researcher exploits Anthropic’s Claude Opus 4.7 to break into major US festival ticketing system

Researcher exploits Anthropic’s Claude Opus 4.7 to break into major US festival ticketing system

The same AI model family was recently used to discover a four-year-old vulnerability in Zcash that triggered a roughly 40% price crash

A security researcher reportedly used Anthropic’s Claude Opus 4.7 to compromise Front Gate Tickets, the ticketing platform behind nearly every major US music festival, and freely issue tickets to events like Lollapalooza and Bonnaroo. The exploit underscores a growing and uncomfortable truth: the same AI models designed to help developers write better code are also getting disturbingly good at finding ways to break things.

This isn’t just a ticketing problem. The implications ripple directly into crypto and digital asset security, where a closely related model, Claude Opus 4.8, was recently used to uncover a four-year-old vulnerability in Zcash that contributed to a roughly 40% price decline for the privacy-focused cryptocurrency.

What Claude Opus 4.7 actually does

Claude Opus 4.7 launched on April 16, 2026, priced at $5 per million input tokens and $25 per million output tokens. The model features 3x enhancements in vision capabilities compared to its predecessor and significantly improved agentic coding abilities, meaning it can autonomously chain together complex tasks like analyzing code, identifying weaknesses, and writing exploits.

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Internal testing at Anthropic had already indicated that prior models like Opus 4.6 could find significant zero-day vulnerabilities. Opus 4.7 was designed as a more controlled successor to earlier internal models that had fewer restrictions.

The Front Gate exploit demonstrates what happens when that power meets a real-world target. Front Gate handles ticket distribution for some of the largest festivals in the US. A researcher using Claude Opus 4.7 was reportedly able to break into its website and issue any ticket of their choosing.

The Zcash incident and crypto’s AI vulnerability problem

Between approximately May 28 and June 5, 2026, a researcher used Claude Opus 4.8 to identify a vulnerability in Zcash that had gone undetected for four years. The discovery triggered a roughly 40% price decline for ZEC.

Dual-use AI and the security arms race

Anthropic has positioned itself as the safety-conscious AI lab, and the company has introduced measures designed to limit the offensive cyber capabilities of its models. Opus 4.7 was designed as a more controlled successor to earlier internal models that had fewer restrictions.

Making matters worse, emerging malware campaigns are now imitating Claude tools to target crypto wallets, routing attacks through Binance Smart Chain smart contracts. Attackers aren’t just using AI to find vulnerabilities. They’re weaponizing the AI brand itself as a social engineering vector.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

Researcher exploits Anthropic’s Claude Opus 4.7 to break into major US festival ticketing system

Researcher exploits Anthropic’s Claude Opus 4.7 to break into major US festival ticketing system

The same AI model family was recently used to discover a four-year-old vulnerability in Zcash that triggered a roughly 40% price crash

A security researcher reportedly used Anthropic’s Claude Opus 4.7 to compromise Front Gate Tickets, the ticketing platform behind nearly every major US music festival, and freely issue tickets to events like Lollapalooza and Bonnaroo. The exploit underscores a growing and uncomfortable truth: the same AI models designed to help developers write better code are also getting disturbingly good at finding ways to break things.

This isn’t just a ticketing problem. The implications ripple directly into crypto and digital asset security, where a closely related model, Claude Opus 4.8, was recently used to uncover a four-year-old vulnerability in Zcash that contributed to a roughly 40% price decline for the privacy-focused cryptocurrency.

What Claude Opus 4.7 actually does

Claude Opus 4.7 launched on April 16, 2026, priced at $5 per million input tokens and $25 per million output tokens. The model features 3x enhancements in vision capabilities compared to its predecessor and significantly improved agentic coding abilities, meaning it can autonomously chain together complex tasks like analyzing code, identifying weaknesses, and writing exploits.

Advertisement

Internal testing at Anthropic had already indicated that prior models like Opus 4.6 could find significant zero-day vulnerabilities. Opus 4.7 was designed as a more controlled successor to earlier internal models that had fewer restrictions.

The Front Gate exploit demonstrates what happens when that power meets a real-world target. Front Gate handles ticket distribution for some of the largest festivals in the US. A researcher using Claude Opus 4.7 was reportedly able to break into its website and issue any ticket of their choosing.

The Zcash incident and crypto’s AI vulnerability problem

Between approximately May 28 and June 5, 2026, a researcher used Claude Opus 4.8 to identify a vulnerability in Zcash that had gone undetected for four years. The discovery triggered a roughly 40% price decline for ZEC.

Dual-use AI and the security arms race

Anthropic has positioned itself as the safety-conscious AI lab, and the company has introduced measures designed to limit the offensive cyber capabilities of its models. Opus 4.7 was designed as a more controlled successor to earlier internal models that had fewer restrictions.

Making matters worse, emerging malware campaigns are now imitating Claude tools to target crypto wallets, routing attacks through Binance Smart Chain smart contracts. Attackers aren’t just using AI to find vulnerabilities. They’re weaponizing the AI brand itself as a social engineering vector.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.