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Infotainment, EV Charger Exploits Earn Hackers $1M at Pwn2Own Automotive 2026

Pwn2Own participants disclosed a total of 76 vulnerabilities during the three-day event. 

Tianfu Cup hacking competition

White hat hackers earned $1,047,000 for 76 unique vulnerabilities at Pwn2Own Automotive 2026, the automotive-focused hacking competition organized this week by Trend Micro’s Zero Day Initiative (ZDI) in Japan. 

The winner of the event, the Fuzzware.io team, earned a total of $215,500 for its exploits. The team received the highest individual reward: $60,000 for an Alpitronic HYC50 EV charger exploit delivered through the charging gun. ZDI described it as “the first public exploit of a supercharger”.

Hacks targeting Autel and Phoenix Contact EV chargers earned Pwn2Own Automotive 2026 participants $50,000 each. 

Exploits aimed at ChargePoint, Alpitronic, and Grizzl-E chargers earned $40,000 each.

One noteworthy exploit involved chaining three vulnerabilities to hack Automotive Grade Linux, earning a researcher $40,000. 

Another exploit highlighted by ZDI targeted Tesla’s infotainment system. Researchers received $35,000 for a full hack executed by simply plugging in a USB stick.

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Sony, Kenwood, and Alpine infotainment system, and Alpitronic, Grizzl-E, Autel, Phoenix Contact, and ChargePoint charger exploits earned researchers thousands and even tens of thousands of dollars.

At last year’s Pwn2Own Automotive, participants received a total of $886,000.

Related: QNAP Patches Vulnerabilities Exploited at Pwn2Own Ireland

Related: $1M WhatsApp Hack Flops: Only Low-Risk Bugs Disclosed to Meta After Pwn2Own Withdrawal

Related: VMware Flaws That Earned Hackers $340,000 at Pwn2Own Patched

Related: Hackers Earn Over $1 Million at Pwn2Own Berlin 2025

Written By

Eduard Kovacs (@EduardKovacs) is senior managing editor at SecurityWeek. He worked as a high school IT teacher before starting a career in journalism in 2011. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.

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