Alibaba-AAIG/alibaba-ctf
Alibaba CTF Benchmark Alibaba CTF Benchmark is a CTF benchmark designed to measure the frontier of agent work on Capture The Flag security challenges. It consists of 87 high-quality tasks curated from the 2023–2026 AlibabaCTF (formerly AliyunCTF) competition series, covering five core categories: Web (25), Pwn (19), Misc (14), Reverse (16), and Crypto (13). During the curation process, LLM-based challenges were excluded due to their additional credential requirements and test… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-AAIG/alibaba-ctf.
dataset.toml: sync stale happyropeware digest to actual task content
Babyheap: restore unix exec bit in attachment.zip (bin was packed with DOS attrs)
fix(dddddddd): attachment.zip bin/ dir mode 0600 -> 0755
fix(alibabactf-2023-misc-dddddddd): build dddddddd sidecar from environment/ to fix nsjail startup failure on modern kernels
happyropeware: vendor pinned py2.7 debs + patch Dockerfile for ubuntu:24.04 base
Update README.md
Update README.md
Update README.md
Update README.md
Update leaderboard image
Add YAML metadata frontmatter to dataset card
Update README: refresh content, fix line wrapping (normalize NBSP), use repo-local leaderboard image
Fix container count description: agent + at least one target service container
Fix image path to use relative URL
Add leaderboard image to assets
Initial release: Alibaba CTF Benchmark - 87 Harbor tasks
initial commit