Listen to this Post
Introduction
The cybersecurity world once again turned its attention to the famous hacking competition known as Pwn2Own Berlin 2026, where elite security researchers demonstrated just how vulnerable modern enterprise and AI technologies can be. Over the course of three intense days, hackers uncovered dozens of previously unknown security flaws, earning nearly $1.3 million in rewards while exposing weaknesses in some of the world’s most trusted platforms.
This year’s event was particularly important because artificial intelligence systems became one of the main targets. From AI coding assistants to enterprise AI databases and NVIDIA infrastructure, researchers showed that the rapid rise of AI tools is also creating a rapidly expanding attack surface. The event highlighted a growing reality inside cybersecurity: AI innovation is moving faster than security protections.
Massive Zero-Day Discoveries Shock the Security Industry
The 2026 edition of Pwn2Own Berlin took place between May 14 and May 16 and was sponsored by Trend Micro through its well-known Zero Day Initiative program. The competition rewarded researchers for discovering and responsibly disclosing previously unknown vulnerabilities, commonly referred to as zero-days.
By the end of the event, participants had discovered 47 unique zero-day vulnerabilities across multiple enterprise products and AI-related technologies. The findings resulted in nearly $1.3 million in prize payouts, demonstrating the increasing value and danger associated with modern exploit research.
The biggest winner of the event was the DEVCORE Research Team, which walked away with an astonishing $505,000 in rewards. Their dominance throughout the competition reinforced their reputation as one of the most advanced offensive security teams in the world.
One of the most impressive demonstrations came from security researcher Nguusd Hoang Thach of STAR Labs SG. Using a memory corruption vulnerability, he successfully exploited VMware ESXi combined with cross-tenant code execution techniques. The exploit earned him $200,000 and raised serious concerns about virtualization security in enterprise environments.
Another major moment involved “splitline” from DEVCORE, who chained together two vulnerabilities to compromise Microsoft SharePoint. That successful attack earned a $100,000 payout and demonstrated how attackers can combine multiple smaller flaws into devastating enterprise breaches.
Security researcher Orange Tsai delivered some of the event’s most technically advanced exploits. One attack chained together three vulnerabilities to achieve remote code execution on Microsoft Exchange systems with system-level privileges. That exploit alone earned $200,000.
Orange Tsai also demonstrated a separate attack against Microsoft Edge, using four logic vulnerabilities to bypass browser sandbox protections. The exploit earned an additional $175,000 and highlighted how browser security remains a major battlefield despite years of defensive improvements.
AI Platforms Became a Primary Target
Unlike older editions of Pwn2Own that focused mainly on browsers and operating systems, the Berlin 2026 competition heavily emphasized artificial intelligence technologies.
Researchers specifically targeted AI databases such as Chroma, Postgres pgvector, and Oracle Autonomous AI Database. These platforms are increasingly used to power retrieval-augmented generation systems, enterprise AI search, and large-scale data processing pipelines.
The event also introduced attacks against coding agents for the first time. Tools like Cursor, Claude Code, and OpenAI Codex became official hacking targets, reflecting growing concerns around AI-assisted software development.
According to Dustin Childs, head of threat awareness for the Zero Day Initiative, developers everywhere are now experimenting with “vibe coding,” where AI tools generate or assist with code creation. However, the security implications remain largely unexplored.
Researchers were challenged to exploit vulnerabilities by interacting with attacker-controlled resources such as malicious repositories, crafted web pages, or manipulated media files. The goal was to demonstrate realistic attack scenarios targeting common coding-agent workflows.
Several major names in the large language model ecosystem also appeared at the event, including Ollama, LiteLLM, LM Studio, and Llama.cpp. Their inclusion reflected how rapidly open-source AI infrastructure is becoming embedded inside enterprise environments.
NVIDIA Infrastructure Also Came Under Fire
AI hardware and infrastructure giant NVIDIA was another major focus during the competition.
Participants attempted to compromise products including Megatron Bridge, NV Container Toolkit, and Dynamo. These technologies are heavily used in AI training pipelines, containerized AI deployments, and large-scale GPU environments.
The targeting of NVIDIA infrastructure signals a major shift in cybersecurity priorities. Attackers are no longer focusing only on endpoints or browsers. Instead, they are increasingly aiming at the underlying infrastructure powering the global AI boom.
If vulnerabilities inside these environments are exploited in real-world attacks, the consequences could affect cloud providers, enterprise AI deployments, and critical AI supply chains worldwide.
What Undercode Say:
The results of Pwn2Own Berlin 2026 reveal a cybersecurity industry entering a new era where artificial intelligence is becoming both a productivity revolution and a massive security liability.
For years, security researchers focused on browsers, office software, virtualization systems, and operating systems. Those targets still matter, but AI technologies are now rapidly joining the list of critical attack surfaces. The reason is simple: organizations are deploying AI tools faster than they can properly secure them.
The inclusion of coding agents like Cursor, Claude Code, and OpenAI Codex is especially important. These tools are increasingly integrated into real development workflows. Developers now rely on AI-generated suggestions, automated debugging, and repository analysis without fully understanding the security implications behind those interactions.
An attacker who compromises a coding assistant could potentially inject malicious code into software projects, manipulate dependencies, leak credentials, or quietly introduce supply-chain vulnerabilities. The danger becomes even greater when AI agents are connected directly to repositories, CI/CD pipelines, or cloud infrastructure.
The exploitation of AI databases is another warning sign. Vector databases and embedding systems often store sensitive enterprise information used by large language models. If attackers gain access to these environments, they could extract proprietary data, poison AI responses, or manipulate retrieval systems.
The NVIDIA-focused attacks also carry major implications. GPU infrastructure is rapidly becoming one of the most valuable resources in the technology sector. AI companies, cloud providers, governments, and startups all rely heavily on GPU orchestration environments. A single vulnerability in AI container infrastructure could create supply-chain level risks across thousands of organizations simultaneously.
Another important takeaway from the event is how exploit chaining continues to dominate advanced offensive security research. Most of the successful demonstrations involved multiple vulnerabilities working together rather than a single catastrophic bug. This reflects how modern platforms have improved security in isolation, forcing attackers to combine logic flaws, privilege escalations, and sandbox escapes into sophisticated attack chains.
The success of DEVCORE also highlights how independent research teams continue to outperform many internal vendor security programs. Offensive researchers operating under bug bounty and competition models are uncovering weaknesses faster than many vendors can detect them internally.
The 90-day disclosure window enforced by the Zero Day Initiative remains critical. Vendors now face enormous pressure to patch vulnerabilities before public disclosure occurs. However, enterprise patch management remains notoriously slow, especially in large organizations running legacy infrastructure or customized deployments.
There is also a growing geopolitical dimension to these discoveries. AI systems are becoming strategic national infrastructure. Vulnerabilities inside AI tooling, GPU clusters, and enterprise AI databases may eventually attract interest not only from cybercriminals but also from state-sponsored threat actors.
Pwn2Own Berlin 2026 ultimately demonstrated that AI security is no longer theoretical. These systems are already exploitable, already exposed, and already attractive to advanced attackers. The race between AI innovation and AI security has officially begun, and right now innovation appears to be moving much faster.
Fact Checker Results
✅ The event awarded nearly $1.3 million for zero-day discoveries across enterprise and AI technologies.
✅ DEVCORE Research Team was the highest-earning participant with over $500,000 in rewards.
✅ AI coding assistants, AI databases, Microsoft products, VMware ESXi, and NVIDIA technologies were all targeted during the competition.
Prediction
🔮 Future Pwn2Own competitions will likely dedicate entire categories exclusively to AI infrastructure and autonomous agents.
🔮 AI coding assistants may soon become one of the most targeted technologies by both bug hunters and real-world attackers due to their deep integration into software development pipelines.
🔮 Major enterprise vendors will increasingly invest in AI-focused bug bounty programs as organizations realize that AI infrastructure vulnerabilities could become the next generation of large-scale cyberattacks.
🕵️📝Let’s dive deep and fact‑check.
References:
Reported By: www.infosecurity-magazine.com
Extra Source Hub (Possible Sources for article):
https://www.facebook.com
Wikipedia
OpenAi & Undercode AI
Image Source:
Unsplash
Undercode AI DI v2
Bing
🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]
📢 Follow UndercodeNews & Stay Tuned:
𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky | 🐘Mastodon
