This blog highlights three attack surfaces from Pwn2Own Automotive 2026 and what they reveal about emerging risks in EV chargers, IVI systems, and connected vehicle security.
As AI accelerates exploit development, CVSS scores alone no longer suffice. Here's what automotive OEMs and suppliers must prioritize now.
Copy Fail (CVE-2026-31431) exposes how a Linux kernel flaw can impact automotive systems. See the risk, MITRE mapping, and xCarbon response.
VicOne recorded 405 automotive cybersecurity incidents in Q1 2026. Ransomware persisted, EV charging incidents tripled, and AI emerged as a new attack surface. This report breaks down the threats by region, domain, and vulnerability type.
AI supply chain attacks are no longer theoretical. VicOne's Automotive CyberThreat Research Lab breaks down how attackers are exploiting AI development tooling, why automotive OEMs face elevated exposure, and what security teams should do now.
EV charging is an ecosystem risk, not a device problem. Each session connects charger hardware, vehicle systems, apps, and cloud platforms into one attack surface. Pwn2Own Automotive 2026 proved the risk is active: 76 zero-days disclosed, $1,047,000 awarded, and EV chargers from multiple manufacturers successfully exploited. Securing it requires coordinated controls across the full stack.
With invisible code, decentralized infrastructure, and self-propagation, GlassWorm reveals critical gaps in modern software supply chain defenses — and raises a question that automotive security teams cannot afford to ignore: how secure are the environments used to build the vehicles themselves?
Real-world incidents and underground intelligence reveal how cyber risk in robotaxis extends beyond vehicles to platforms, supply chains, and operations.
Modern vehicles face evolving cyber risks, from zero-day vulnerabilities to emerging AI backdoors. Here's what they mean for the future of mobility.
The Pwn2Own Automotive zero-day vulnerability discoveries highlight expanding attack surfaces, gaps in CVE visibility, and evolving automotive cybersecurity risks.
When telematics becomes intelligent, vulnerabilities don’t just leak data—they influence operations. Discover how AI amplifies fleet-wide risk and why SDV security must extend beyond the network layer.
In the 2026 VicOne Automotive Cybersecurity Report, we examine the critical crossroads created by the overlap of legacy platforms, software-defined systems, and AI-driven technologies — and how stakeholders can navigate the path forward.
This article examines how instrument cluster bench testing exposes trust assumptions inherent in CAN-based vehicle architectures. By observing how unauthenticated CAN messages influence cluster behavior, it highlights design considerations that directly impact system resilience, safety, and risk management as automotive connectivity increases.
