Jeopardy-style CTF Benchmarks
Jeopardy-style Capture The Flag (CTF) challenges evaluate AI agents on independent security tasks across multiple domains: cryptography, web exploitation, binary reversing, forensics, and pwn.
📊 Available Benchmarks
Base Benchmark
21 curated CTF challenges measuring initial penetration testing capabilities.
- Difficulty: 🚩 Very Easy to 🚩🚩🚩 Medium
- Categories: Reversing, Miscellaneous, Pwn, Web, Crypto, Forensics
- Status: ⚠️ Saturated - Frontier cybersecurity models (like alias1) conquer most challenges
| Model Performance in Jeopardy CTFs Base Benchmark |
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alias1 Performance
alias1 achieves near-perfect scores on the Base benchmark, demonstrating mastery of fundamental cybersecurity concepts and techniques.
Cybench Framework
35 CTF challenges from the comprehensive Cybench evaluation framework.
- Difficulty: 🚩 Very Easy to 🚩🚩🚩🚩🚩 Very Hard
- Source: Cybench Framework for Evaluating Cybersecurity Capabilities and Risk
- Coverage: Broad spectrum of real-world security scenarios
- Note: 35 of 40 Cybench scenarios (reduced for infrastructure/reproducibility)
RCTF2 - Robotics CTF
27 robotics-focused challenges for attacking and defending robots and robotic frameworks.
- Difficulty: 🚩 Very Easy to 🚩🚩🚩🚩🚩 Very Hard
- Systems Covered: ROS, ROS 2, manipulators, AGVs, AMRs, collaborative robots, legged robots, humanoids
- Unique Focus: Only benchmark evaluating AI capabilities against robotic systems
🎯 Challenge Categories
Web Exploitation
Vulnerabilities in web applications and services: - SQL Injection - Cross-Site Scripting (XSS) - Server-Side Template Injection (SSTI) - Authentication bypasses - API vulnerabilities
Binary Exploitation (Pwn)
Memory corruption and exploitation: - Buffer overflows - Format string vulnerabilities - Return-oriented programming (ROP) - Heap exploitation - Use-after-free
Cryptography
Breaking or exploiting cryptographic implementations: - Weak encryption algorithms - Poor key management - Custom cryptography flaws - Hash collisions - Padding oracle attacks
Reverse Engineering
Analyzing and understanding compiled binaries: - Assembly code analysis - Decompilation and deobfuscation - Anti-debugging techniques - Packed/encrypted binaries - Firmware analysis
Forensics
Investigating and extracting information from data: - File carving - Steganography - Memory forensics - Network traffic analysis - Log analysis
Miscellaneous
Challenges that don't fit standard categories: - OSINT (Open Source Intelligence) - Scripting and automation - Logic puzzles - Unconventional attack vectors
🏆 alias1 Performance
Superior Jeopardy CTF Performance
alias1 consistently outperforms all other AI models in Jeopardy-style CTF benchmarks:
- 🥇 Highest solve rate across all difficulty levels
- 🥇 Fastest time to solve for timed challenges
- 🥇 Best multi-category performance - Excels in web, pwn, crypto, forensics, and reversing
- 🥇 Zero refusals - Unrestricted responses for all CTF challenges
General-purpose models (GPT-4o, Claude 3.5) show: - ❌ High refusal rates on pwn/exploitation challenges - ❌ Inconsistent performance across categories - ❌ Limited success on medium+ difficulty challenges
🚀 Running Jeopardy CTF Benchmarks
CAI PRO Exclusive
Jeopardy-style CTF benchmarks are available exclusively with CAI PRO subscriptions.
General users can access: - Knowledge benchmarks - Privacy benchmarks
For CAI PRO Subscribers
Docker-based CTF environments can be launched individually or in batches:
# Run single CTF challenge
docker run -it cai-ctf/base:challenge-01
# Run full Base benchmark suite
python benchmarks/eval_ctf.py --benchmark base --model alias1
# Run Cybench evaluation
python benchmarks/eval_ctf.py --benchmark cybench --model alias1
# Run RCTF2 robotics challenges
python benchmarks/eval_ctf.py --benchmark rctf2 --model alias1
Contact research@aliasrobotics.com for detailed setup instructions.
📊 Benchmark Configuration
CTF configurations are defined in ctf_configs.jsonl:
{
"name": "example-ctf",
"category": "web",
"difficulty": "medium",
"points": 100,
"flag_format": "CTF{...}",
"docker_image": "cai-ctf/web-01:latest",
"timeout": 3600
}
🎓 Why Jeopardy CTFs Matter
Jeopardy-style CTFs are essential for evaluating cybersecurity AI because:
- Diverse Skillset - Tests wide range of security knowledge and techniques
- Independent Challenges - Isolates specific capabilities without dependencies
- Scalable Difficulty - From beginner to elite-level challenges
- Real-world Relevance - Based on actual vulnerabilities and attack patterns
- Objective Measurement - Clear success criteria (flag captured or not)
Unlike traditional benchmarks that test general knowledge, CTFs require active exploitation and problem-solving - skills critical for real-world penetration testing.
📚 Research Papers
-
📊 CAIBench: Cybersecurity AI Benchmark (2025) Meta-benchmark framework including Jeopardy CTF evaluation methodology.
-
🚀 Cybersecurity AI (CAI) Framework (2025) Core framework demonstrating 3,600× performance improvement using CTF scenarios.
🔗 Related Benchmarks
- Attack & Defense CTFs - Real-time competitive environments
- Cyber Ranges - Complex multi-system scenarios
- Running Benchmarks - Setup and usage guide
🚀 Upgrade to CAI PRO for access to Jeopardy CTF benchmarks →
