Emberi beavatkozás nélkül hozott létre Firefox-támadásokat a GLM 5.3

Researchers at Epoch AI show that a freely available AI model can exploit the time gap between publication and delivery of security patches to attack Firefox users. The cost per exploit is about $1,000. The "patch gap" is the window in which a security fix is visible in the code but has not yet reached users. Researchers at Epoch AI found that the Chinese open-weight model GLM 5.3 exploited this gap across 6 Firefox versions released between September 17 and October 26, at a cost of roughly $1,000 in API fees per successful attack. Anthropic had previously reported that GLM 5.3 can write exploits at roughly the same level as Mythos. During testing, the model built a webpage that could read local files from a visitor's computer and send them to an attacker's server the moment a Firefox user loaded the page. With over 200 million active Firefox users, attackers could have gained access to saved passwords, authentication cookies, and private documents.Ad Neither Z.ai nor other API providers triggered any safety guardrails or refusals when the researchers used GLM 5.3 for exploit development. Although the researchers framed the task as a security exercise, they describe their actions as "indistinguishable from those of someone attempting to target real users."Ad The researchers say they deliberately designed their setup to approximate what a low-skill attacker with limited resources could achieve. They supplied the target Firefox version, basic tools, and publicly available information in an offline environment. After receiving basic instructions to investigate the patch gap, the model worked autonomously, identifying upcoming security fixes, selecting vulnerabilities, and building multi-stage exploit chains. According to the report, Firefox security fixes are disguised as routine improvements to slow down attackers. GLM 5.3 saw through the tactic and identified which code changes were security-related anyway.Ad In one case the model spotted a memory safety bug through an upcoming fix and developed a method to read and alter browser memory. When Firefox's security layers blocked access to the target file, the model chained the initial exploit with several additional stages to bypass the remaining defenses. The fastest successful attack took 12 hours, while the researchers gave the model a maximum of 48 hours. Across all successful attacks on current Firefox versions, GLM 5.3 relied on a previously unknown vulnerability that the model independently rediscovered in every attempt, allowing it to bypass the browser's sandbox protections and read files directly from the computer.Ad The team disclosed its findings to Mozilla, which patched that vulnerability in Firefox 159.0, released on October 27, 2026. The researchers have not confirmed whether similar attacks work against the new version, but they suspect the patch makes them "at least substantially more difficult."Ad Using the same setup and techniques against Google Chrome, the team spent about $100,000 in API fees without producing an equivalent exploit. The researchers caution that this does not establish Chrome's immunity: better elicitation methods or more capable models might still succeed. They point to limited benchmark data suggesting that the recently announced Kimi K3.1 Pro could outperform GLM 5.3 on offensive cyber tasks, although they did not test it themselves. The patch gap isn't a Firefox-only problem. According to the Epoch AI researchers, it exists across the software industry, in browsers, mobile operating systems, and router firmware. Open-source projects are especially exposed because all of their code is public, but closed-source software is vulnerable too. Anthropic has already shown that its Mythos model can exploit the patch gap in Windows without access to source code, and AI models are getting steadily better at decompiling compiled software to identify security fixes on their own. According to the report, patch-gap exploits targeted Chrome in