前沿AI已能以超人速度和近乎零边际成本自主完成端到端的复杂专家级网络攻击链。在AISI的网络安全评估中，GPT-5.5与Mythos Preview表现相当，均远超GPT-4o等早期模型。GPT-5.5在包含32个步骤的企业网络攻击模拟中成功完成端到端攻击，而人类专家需约20小时。在一项人类专家需12小时完成的反向工程任务中，GPT-5.5仅用11分钟、花费1.73美元即告解决。
Frontier AI can now autonomously chain complex, expert-level cyber attacks end-to-end, at superhuman speed and near-zero marginal cost.
GPT-5.5 essentially tied with Mythos Preview - within the margin of error — both far ahead of earlier models (GPT-4o, Claude Opus 4.x, etc.).
- GPT-5.5: 71.4% (±8.0%)
- Mythos Preview: 68.6% (±8.7%)
AISI has been running controlled, realistic cybersecurity evaluations on the latest AI models. These include:
- Narrow CTF-style tasks (expert-level challenges like exploiting memory corruptions, breaking crypto, reverse-engineering stripped binaries, etc.).
- Multi-step “cyber range” simulations — a full 32-step corporate network attack chain (recon → initial access → lateral movement → privilege escalation → full network takeover). A human expert needs ~20 hours for this.
They previously tested Mythos Preview, and now OpenAI’s GPT-5.5.
One hard reverse-engineering task (custom virtual machine) takes a human expert ~12 hours with professional tools. GPT-5.5 solved it in under 11 minutes at a cost of $1.73.
OpenAI’s GPT-5.5 is the second model to complete one of our multi-step cyber-attack simulations end-to-end 🧵在 X 查看被引用的帖子
来源：Rohan Paul · x.com