# 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
Base Benchmark Results
!!! success "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](https://github.com/andyzorigin/cybench) - **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 !!! success "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 **[Get alias1 with CAI PRO →](../cai_pro.md)** --- ## 🚀 Running Jeopardy CTF Benchmarks !!! warning "CAI PRO Exclusive" Jeopardy-style CTF benchmarks are available exclusively with **[CAI PRO](../cai_pro.md)** subscriptions. General users can access: - [Knowledge benchmarks](knowledge_benchmarks.md) - [Privacy benchmarks](privacy_benchmarks.md) ### For CAI PRO Subscribers Docker-based CTF environments can be launched individually or in batches: ```bash # 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`](https://github.com/aliasrobotics/cai/blob/main/src/cai/caibench/ctf-jsons/ctf_configs.jsonl): ```json { "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: 1. **Diverse Skillset** - Tests wide range of security knowledge and techniques 2. **Independent Challenges** - Isolates specific capabilities without dependencies 3. **Scalable Difficulty** - From beginner to elite-level challenges 4. **Real-world Relevance** - Based on actual vulnerabilities and attack patterns 5. **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**](https://arxiv.org/pdf/2510.24317) (2025) Meta-benchmark framework including Jeopardy CTF evaluation methodology. - 🚀 [**Cybersecurity AI (CAI) Framework**](https://arxiv.org/pdf/2504.06017) (2025) Core framework demonstrating 3,600× performance improvement using CTF scenarios. **[View all research →](https://aliasrobotics.com/research-security.php#papers)** --- ## 🔗 Related Benchmarks - **[Attack & Defense CTFs](attack_defense.md)** - Real-time competitive environments - **[Cyber Ranges](cyber_ranges.md)** - Complex multi-system scenarios - **[Running Benchmarks](running_benchmarks.md)** - Setup and usage guide --- 🚀 **[Upgrade to CAI PRO for access to Jeopardy CTF benchmarks →](../cai_pro.md)**