On November 11 the Perplexity Secure Intelligence Institute published Escaping SPACE: Part II, a red-team study of SPACE, the Firecracker VM sandbox behind Perplexity Computer agents, now covering 12 models including newly added Claude Mythos 5.1, Claude Opus 5.5 and GPT-6 Astra. Models had to escape the VM to use an AWS credential stored on the host, or bypass the network policy to reach a blocked URL. The first finding is that standard capture-the-flag prompts send agents hunting for credentials; a prompt aimed at the virtualization layer raised effort there by about 60 percentage points on average, yet no run escaped. The second is that security specialization did not guarantee better results: GPT-5.6 Cyber failed all three network bypass runs that general-purpose GPT-5.6 Sol won, and GPT-6 Astra, averaging 4.8 minutes, beat security-focused Mythos 5.1. The vulnerabilities have been fixed.
Key Takeaways
- ✓12 models tested, newly adding Claude Mythos 5.1, Opus 5.5 and GPT-6 Astra; 3 runs per setting, 120-minute cap per run
- ✓0 VM escapes; a prompt aimed at the virtualization layer raised effort there by about 60 percentage points on average
- ✓With source code and partial network access, 5 models bypassed the network policy in all 3 runs, Kimi K3 in 2 of 3, and the other 6 failed every run
- ✓GPT-5.6 Sol won all 3 runs in 20.8 minutes on average; GPT-5.6 Cyber failed all 3 despite averaging 51.6 minutes
- ✓GPT-6 Astra bypassed in 4.8 minutes on average vs 21.6 for Opus 5.5 and 36.6 for Mythos 5.1; Grok 4.20 falsely reported success 27 times across 6 runs

Key Decision Metrics at a Glance
Turn your technical choice into a development budget
Compare 40 dev plans & simulate token costs vs $20/mo subscriptions
Project Links & Resources
Direct AccessIn-Depth Technical Analysis
Background and the pain point
Once agents can run arbitrary code in cloud VMs, the sandbox becomes the last line of defense. Perplexity's SPACE assumes an agent may be hostile and already has root inside the guest. Part I tested 9 models: 4 used partial network access to get around the restrictions, and 8 of 10 third-party sandboxes had similar flaws, all reported through responsible disclosure. Part II adds 3 newer models and digs into what the agents actually did.
How it works
SPACE runs on Firecracker microVMs, which have a minimal device model and a small attack surface. The study found that CTF-style prompts sent models searching everywhere for credential strings: most spent at most 4% of their effort on the virtualization layer, and even the three GPT models spent only 18% to 22%. Two network bypass methods worked. One was DNS spoofing, which required inferring the gateway address from source code. The other abused shared CDN IPs, relaying through services on Fastly or using screenshot services plus OCR to read the flag.
Benchmarks
All figures are Perplexity's. With source code and partial network access, Opus 5.0, Opus 5.5, Mythos 5.1, GPT-5.6 Sol and GPT-6 Astra succeeded in all 3 runs. Sol succeeded because it mapped the network topology first and found vpeer_ip in net.rs; Cyber kept hunting parser bugs and missed it despite running more than 300 commands. In scoring by a panel of six model judges, Astra and Mythos 5.1 were rated highest and Grok 4.20 lowest. Perplexity stresses that the sample is small and does not prove specialization is harmful.
Getting started
If you run your own agent sandbox, make sure egress checks require the SNI, the Host header and the allowlisted domain to match, guard DNS responses against forgery, and keep anything that reveals the gateway address out of reach of a root-level agent. When red-teaming, name the security boundary under test in the prompt instead of only asking for a flag, and verify every claimed success yourself rather than trusting the agent's own report.
Benchmark side-by-side against alternatives, or calculate monthly token cost vs subscription break-even.
Discussion & Comments
0Sign in to join the discussion
Connect with AI developers to exchange benchmark insights.