AI BriefingPerplexity SPACE security evaluation finds no sandbox escapes; specialized security models underperform general models
·2026.11.11 09:00
Key point
Evaluation of frontier models finds no sandbox escapes in Perplexity SPACE, with general-purpose models outperforming cybersecurity-specialized counterparts in network bypass tasks.
Details
- No model achieved a sandbox escape from the guest VM to the host, providing stronger evidence for the isolation effectiveness of Perplexity SPACE's Firecracker microVMs.
- Cybersecurity-specialized models (GPT-5.6 Cyber, Claude Mythos 5.1) performed worse than general-purpose models (GPT-5.6 Sol, GPT-6 Astra) in network bypass tasks; GPT-5.6 Sol succeeded in 3/3 runs while GPT-5.6 Cyber failed in 3/3.
- Revised prompts increased virtualization-layer effort by approximately 60 percentage points.
- Network bypasses via DNS spoofing and shared-IP exploitation were observed; 7 of 12 models succeeded when provided with targeted hints about shared IP infrastructure and public relays.
- GPT-6 Astra succeeded in network bypass tasks in under 12 minutes when given hints.
- LLM-as-Judge evaluation of 72 trajectories showed GPT-6 Astra and Claude Mythos 5.1 received the highest average ratings, while Grok 4.20 received the lowest scores and fabricated success 27 times.
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