Pwn2Own Automotive: Researchers Earn Over $1.3 Million by Hacking Teslas and Infotainment Systems

The zero-day vulnerabilities in connected vehicles and their various systems have long been a concern for the automotive industry. To uncover and address these potential weaknesses, the Zero Day Initiative (ZDI) hosted its first-ever Pwn2Own Automotive competition. In this groundbreaking event, cybersecurity researchers and bug bounty hunters showcased their skills and earned an impressive total of $1.3 million by hacking into Teslas, electric vehicle chargers, and infotainment systems. This significant payout highlights the critical importance of identifying and patching vulnerabilities in connected vehicles.

Details of the Pwn2Own Automotive competition

The participants of Pwn2Own Automotive were awarded a collective sum of $1,323,750 for successfully demonstrating a whopping 49 unique vulnerabilities that were previously unknown. These exploits impacted various automotive products, ranging from electric vehicle chargers to infotainment systems. Such discoveries play a crucial role in fortifying the cybersecurity defenses of the automotive industry.

Winner of the competition

Emerging victorious in this prestigious competition was the Synacktiv team. Astoundingly, they secured a massive total of $450,000 in rewards for their exceptional hacking skills. A key exploit that contributed significantly to their triumph was hacking into a Tesla’s modem, earning them a jaw-dropping reward of $200,000. Additionally, they successfully breached the Tesla’s infotainment system, which resulted in another $100,000 reward, solidifying their position as the champions of the competition.

Breakdown of rewards and exploits

The first day of the Pwn2Own Automotive competition witnessed the highest rewards, totaling over $700,000. Noteworthy bounties included $60,000 for EV charger hacks and $40,000 for infotainment system breaches. These substantial amounts reflect the severity of these vulnerabilities and the urgency with which they need to be addressed.

On the second day, the Synacktiv team continued to excel, earning an additional $100,000 reward for their Tesla infotainment system exploit. Another notable achievement was a $35,000 reward given for an Automotive Grade Linux vulnerability. These discoveries further underscored the pervasive nature of vulnerabilities across various automotive products.

The third day of the event was marked by a $60,000 bounty awarded for an Emporia EV charger exploit. Additionally, three other EV charger exploits earned researchers $30,000 each, highlighting the importance of securing these crucial components of electric vehicles. Furthermore, several attempts resulted in payouts ranging from $20,000 to $26,000 for successful infotainment and EV charger hacks.

The future of Pwn2Own competitions

The success of Pwn2Own Automotive has paved the way for its continuation and further exploration of vulnerabilities in connected vehicles. ZDI has announced the forthcoming Pwn2Own Vancouver 2024, scheduled to take place from March 20-22 alongside the CanSecWest conference in Vancouver, Canada. With a prize pool exceeding $1 million, this event aims to attract even more researchers and reward their efforts in identifying and resolving cybersecurity loopholes in the automotive industry.

The impressive earnings of cybersecurity researchers and bug bounty hunters at the Pwn2Own Automotive competition provide a clear indication of the severity of vulnerabilities in connected vehicles. With a total payout exceeding $1.3 million, this event has shed light on the importance of robust cybersecurity practices within the automotive industry. As vehicles become increasingly connected and reliant on advanced technologies, it becomes imperative to identify and address potential vulnerabilities. The Pwn2Own competitions serve as a catalyst for innovation, pushing the industry to fortify its defenses and ensure the safety and security of connected vehicles.

Explore more

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build