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Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities

NUWA research note · independent review pending

First published: Source checked: 2026-10-25
NUWA Research NoteResearch questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resources

Model-assisted reading · Selected sections of the original full text or official article; a complete section-by-section audit remains pending.

At a glance

NUWA interpretation: output-interface choice can confound apparent cyber capability.

Research question

How sensitive are cyber-capability evaluations to elicitation and communication protocol?

Design and assumptions

3CB evaluates fourteen models on fifteen challenges and eighty elicitation configurations, with four ethically withheld challenges retained privately.

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities — Figure 3
Figure 3 · Original figure 3. Read alongside the protocol scope and limitations below. Original figure and source ↗

Source findings

GPT-4o’s completion improved by 24.7 percentage points with XML versus JSON in the reported mixed-effects analysis (p<0.001).

Other models showed different protocol sensitivity (§3.2).

NUWA interpretation

NUWA interpretation: output-interface choice can confound apparent cyber capability.

Limits and contrary evidence

Challenge completion does not measure catastrophic outcomes; withheld tasks and finite challenge breadth limit public reproduction.

Research and decision relevance

Model recommendation: record protocol and elicitation configuration before interpreting model rankings or risk labels.

Precise source locations

Source checking, extraction, editorial approval and replication are recorded separately. Methodology →

Institutions and roles

Authors (5)

Andrey Anurin · Jonathan Ng · Kibo Schaffer · Jason Schreiber · Esben Kran

Evaluation protocols

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities →

Cite and reuse

Cite the original publication for its findings. Cite this NUWA record separately for its explanation and retained snapshot.

Original publication · BibTeX
@misc{catastrophic-cyber-benchmark,
  title = {Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities},
  url = {https://arxiv.org/abs/2410.09114},
  author = {Andrey Anurin and Jonathan Ng and Kibo Schaffer and Jason Schreiber and Esben Kran},
  year = {2024},
  date = {2024-10-10},
  version = {arXiv:2410.09114v2},
  note = {arXiv:2410.09114v2}
}
NUWA record · BibTeX
@misc{catastrophic-cyber-benchmark-nuwa,
  title = {Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities — NUWA research record},
  url = {https://whitzard.tech/en/nuwa/whitzard-index/work/catastrophic-cyber-benchmark/},
  version = {2026-10-29.1},
  organization = {NUWA Frontier AI Safety Lab},
  howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--catastrophic-cyber-benchmark.json},
  note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--catastrophic-cyber-benchmark.json.}
}

Evidence snapshot 2026-10-29.1 · Index updates · RSS

References

  1. [1] Your Name. Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities. 2024-10-10. v2 [arXiv]; Abstract; §2 Methodology; §3.2 Elicitation results
  2. [2] ‘3cb’: The Catastrophic Cyber Capabilities Benchmark. 2024-10-30 ; Original institutional announcement: Apart Research paper