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safety benchmark

Cybersecurity CTFs

Cybersecurity Capture the Flag (CTF) benchmark for evaluating LLMs in offensive security challenges. Contains diverse cybersecurity tasks including cryptography, web exploitation, binary analysis, and forensics to assess AI capabilities in cybersecurity problem-solving.

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

Cybersecurity CTFs Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

01OPGPT-5.3 CodexOpenAI77.6%100.0%3CAug 11, 2026
02ANClaude Haiku 4.5Anthropic46.9%50.0%3CAug 11, 2026
03OPo1-miniOpenAI28.7%0.0%3CAug 11, 2026

Cybersecurity CTFs Score Distribution

A closer view of the leading scores on this benchmark.

Cybersecurity CTFs

Cybersecurity CTFs Highlights

The leading models and scores on this benchmark.

Rank #1GPT-5.3 Codex77.6%Rank #2Claude Haiku 4.546.9%Rank #3o1-mini28.7%

What is Cybersecurity CTFs?

What Cybersecurity CTFs measures and how its scores work.

Cybersecurity Capture the Flag (CTF) benchmark for evaluating LLMs in offensive security challenges. Contains diverse cybersecurity tasks including cryptography, web exploitation, binary analysis, and forensics to assess AI capabilities in cybersecurity problem-solving.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Cybersecurity CTFs
Modality
text
Primary category
safety
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
cybersecurity-ctfs|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about Cybersecurity CTFs.

Which model scores highest on Cybersecurity CTFs?

GPT-5.3 Codex is currently ranked first with 77.6%.

What does Cybersecurity CTFs measure?

Cybersecurity Capture the Flag (CTF) benchmark for evaluating LLMs in offensive security challenges. Contains diverse cybersecurity tasks including cryptography, web exploitation, binary analysis, and forensics to assess AI capabilities in cybersecurity problem-solving.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.