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Security researchers spent 6 days doing their Chromework, built 1B user exploit
Researchers at security startup Xbow used OpenAI's GPT-5.6 Sol model to help chain three zero-day vulnerabilities in Chrome into an exploit capable of executing code outside the browser's sandbox on Windows machines. Xbow estimates that this could affect about one billion users worldwide. Google
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Researchers Used a Public OpenAI Model to Build a $250,000 Chrome Full-Chain Exploit in Six Days
A team at security firm XBOW chained three then-unknown Google Chrome bugs into a single attack that runs code on a Windows computer when the user only loads a web page, the company said. Its researchers built the attack in six days by directing AI agents running OpenAI's publicly available
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Security startup Xbow used OpenAI's GPT-5.6 Sol model to chain three zero-day vulnerabilities in Chrome, creating a full-chain exploit affecting 1 billion users in just six days. Google patched all flaws and awarded the team its top $250,000 bounty, highlighting how AI dramatically accelerates exploit development.
Security researchers at Xbow demonstrated how AI in cybersecurity is fundamentally changing the threat landscape by building a full-chain exploit for Google Chrome in just six days. The team used OpenAI's GPT-5.6 Sol model to chain three zero-day vulnerabilities that could execute code outside the browser sandbox on Windows machines, potentially affecting approximately 1 billion users worldwide
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. Google confirmed all three bugs, patched them, and awarded Xbow its top $250,000 reward for a Chrome exploit under its updated 2026 Chrome Vulnerability Reward Program rules2
.The research team—Brendan Dolan-Gavitt, Andres Luksenberg, Baul Lee, and Willem Pinckaers—completed the work during the Black Hat and DEF CON conferences in Las Vegas, spending approximately $40,000 in token charges
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. Xbow CEO Oege de Moor emphasized the speed factor: "A three letter intelligence-agency veteran told me that his team used to spend six months trying to identify this kind of vulnerability and get total access. We did it in six days"1
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Source: The Register
The GPT-5.6 Sol model served as the engine for accelerating exploit development, though security researchers maintained crucial oversight throughout the process. AI agents searched Google Chrome's source code, tested hypotheses, developed proofs of concept, and wrote initial exploit stages
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. Meanwhile, the human researchers selected targets, provided context, challenged the agents' findings, and determined which attack components to chain together. Dolan-Gavitt acknowledged: "We did apply a fair bit of our own human expertise and judgment"1
.The six-day sprint between August 2 and August 7 followed months of preparation. Xbow set the challenge at a January staff meeting in Malta, and their first full Chrome chain took two months to complete
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. The awarded chain nearly failed when one bug turned out to be already known to Google, but the team's modular approach allowed them to swap components and maintain the attack chain2
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Source: Hacker News
The full-chain exploit crossed two critical security boundaries in three vulnerability stages, demonstrating sophisticated understanding of Chrome's architecture
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. The first vulnerability exploited a V8 compiler bug in Maglev, Chrome's mid-tier optimizing compiler, involving a reused, mutable boxed number during deoptimization that granted attackers read and write access throughout V8's pointer-compression cage1
.The second stage targeted an animated WebP decoder bug that served as a V8 sandbox escape. Rather than attacking the sandbox directly, the exploit leveraged a property the V8 sandbox deliberately doesn't enforce but that Blink incorrectly assumed it could trust
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. The final stage exploited an overflow in Crashpad, Chrome's crash handler that runs outside the sandbox, to cross the outer process boundary and achieve unsandboxed code execution on the host1
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The research demonstrates that large language models have dramatically reduced the resources required for sophisticated attacks. Dolan-Gavitt noted that pre-LLMs, a Chrome full chain would take a team of four around 6-9 months to produce
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. The time and $40,000 spent illustrate that "the bar is significantly lower" for attackers armed with AI capabilities1
.Google fixed the vulnerabilities in Chrome versions 152.0.7977.65 on August 25 and 152.0.7977.82 on September 3
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. Both identified bugs carry high severity ratings and required only that users load a malicious page. While Chrome updates automatically, fixes only take effect after browser restart, making it critical for users to relaunch Chrome and verify they're running version 152.0.7977.82 or later1
.This marks the first full-chain Chrome reward under Google's 2026 bounty program rules and the first awarded to an autonomous security company
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. Dolan-Gavitt's warning to defenders captures the urgency: "Six days and $40k is not a lot of time or money when the payoff is a Chrome chain! Defend accordingly"2
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