CTF•恶意软件分析
用于混淆脚本、恶意样本、自定义加密协议、C2 流量、PE/.NET 二进制、RC4/AES 通信、YARA、shellcode、进程注入与反分析等恶意软件类 CTF 题;触发名:ctf-malware
Profile →npx skills add asdfgh1445/ctf-super-hub --skill ctf-malware --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CTF Malware & Network Analysis Quick reference for malware analysis CTF challenges. Each technique has a one-liner here; see supporting files for full details with code. ## Prerequisites **Python packages (all platforms):** ```bash pip install yara-python pefile capstone oletools unicorn pycryptodome \ volatility3 dissect.cobaltstrike ``` **Linux (apt):** ```bash apt install strace ltrace tshark
What does the CTF•恶意软件分析 skill do?
用于混淆脚本、恶意样本、自定义加密协议、C2 流量、PE/.NET 二进制、RC4/AES 通信、YARA、shellcode、进程注入与反分析等恶意软件类 CTF 题;触发名:ctf-malware
How do I install it?
Run `npx skills add asdfgh1445/ctf-super-hub --skill ctf-malware --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From asdfgh1445/ctf-super-hub, a repository with 718 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.