Epoch AI 实验发现 GLM 5.3 能利用已公开但尚未推送给用户的安全修复,自主攻破六个近期 Firefox 版本。在模仿资源有限的初级攻击者的基础设置下,每个版本攻破成本约 $1,000,最快一次仅用 12 小时(上限为 48 小时),用户打开一个网页后即可窃取密码、认证 cookie 或读取电脑上的任意文件;模型还独立发现并利用了一个此前未公开的漏洞。
Epoch AI 用低成本基础设置实测开放权重模型攻击真实浏览器的能力,给出费用与耗时等可核对细节。
In recent experiments, we found that GLM 5.3 can autonomously compromise recent versions of Mozilla Firefox using security fixes that have been published but not yet shipped to users.
We used a deliberately basic setup meant to emulate a relatively unsophisticated attacker with limited resources. After basic initial instructions to inspect those not-yet-shipped fixes, the model reliably built successful exploits for six recent Firefox versions on its own using only information available at the time of release.
These exploits, which cost about $1,000 per compromised version, would let an attacker steal passwords and authentication cookies stored in the browser, or read any files on the user's computer, after the user opens a single webpage, with no further interaction.
The exploits make use of the "patch gap," the time between when security fixes are made public in beta or "nightly" software updates and when those fixes are generally released to users. Until now, exploiting it required significant human time and skill, or special access to frontier models with advanced cyber capabilities.
Our results show that widely available open-weight models can now do this relatively cheaply and quickly. We gave GLM 5.3 up to 48 hours to find an exploit, but its fastest attempt needed only 12 hours.
In all of its successful attacks, the patch gap gave GLM 5.3 an initial foothold in the browser. To turn that foothold into reading files off the user's computer, the model also independently discovered and used a previously unpublished vulnerability.
We shared our findings with Mozilla, which patched the vulnerability in its October 27 Firefox 159.0 release. We haven't yet confirmed whether the attack still succeeds without it, but expect the fix makes it substantially harder. We're grateful to Mozilla for their responsiveness and collaboration.
来源:Epoch AI · x.com