Ctf Crypto

Q: Why use Ctf Crypto on TypingMind?

Because you install it once and use it with any model. Ctf Crypto is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Ctf Crypto in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wgpsec/AboutSecurity/tree/master/skills/ctf/ctf-crypto. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Ctf Crypto?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Ctf Crypto?

As many as you like. As long as a model supports skills, you can use Ctf Crypto with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Ctf Crypto AI skill free?

It is published on GitHub by wgpsec. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

OrganizationPopular

wgpsec

ctf-crypto

CTF 密码学攻击技术。用于 RSA/AES/ECC/格密码/PRNG/ZKP/古典密码等 CTF 加密类挑战。当遇到加密数据需要破解、密码学相关 CTF 题目、需要分析加密算法弱点、或识别到密文/公钥/密码学参数时使用。覆盖从古典替换密码到现代公钥密码、椭圆曲线、格攻击、零知识证明等全方位密码学攻防技术

Overview

Publisher	wgpsec
Repository	`AboutSecurity`
Skill name	`ctf-crypto`
Stars	1.7K
Forks	242
Bundled files	16
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
16 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by wgpsec on GitHub. Read the source before you install it.

Installation

Install the Ctf Crypto AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/wgpsec/AboutSecurity.git /tmp/AboutSecurity
mkdir -p .claude/skills
cp -r /tmp/AboutSecurity/skills/ctf/ctf-crypto .claude/skills/ctf-crypto

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ctf Crypto in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ctf Crypto on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ctf Crypto is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CTF 密码学攻击

深入参考

以下参考资料按需加载，根据识别出的具体方向选择对应文件：

古典密码（Vigenere/Atbash/XOR/OTP/同音替换） → references/classic-ciphers.md
现代密码攻击（AES/CBC/Padding Oracle/LFSR/MAC伪造） → references/modern-ciphers.md
RSA 攻击（小指数/Wiener/Pollard/Coppersmith/Hastad/CRT） → references/rsa-attacks.md
ECC 攻击（小子群/无效曲线/Smart/ECDSA nonce重用） → references/ecc-attacks.md
高级数学攻击（格/LWE/同源/Pohlig-Hellman/LLL） → references/advanced-math.md
PRNG 攻击（MT19937/LCG/V8 XorShift128+/混沌映射） → references/prng.md
ZKP 与约束求解（Z3/图着色/Groth16/Shamir SSS） → references/zkp-and-advanced.md
历史密码（Lorenz SZ40/42/Book Cipher） → references/historical.md
奇异代数结构（辫群DH/热带半环/FPE/Goldwasser-Micali） → references/exotic-crypto.md
格与LWE攻击（LLL/BKZ/Babai CVP/Coppersmith格/NTRU） → references/lattice-and-lwe.md
现代密码攻击续（Blum-Goldwasser/Hash长度扩展/RC4统计） → references/modern-ciphers-2.md
现代密码攻击Part3（自定义Hash反转/CRC32爆破/HMAC时序） → references/modern-ciphers-3.md
RSA专项技术（p=q绕过/CRT立方根/多素数分解/部分密钥） → references/rsa-attacks-2.md
流密码攻击（LFSR/RC4第二字节偏差/Salsa20/ChaCha20） → references/stream-ciphers.md

分类决策树


题目涉及加密？
├─ 古典密码（Caesar/Vigenere/XOR/替换） → [references/classic-ciphers.md](references/classic-ciphers.md)
├─ 对称加密（AES/DES/RC4/分组密码）
│  ├─ ECB → 块重排 / 逐字节oracle
│  ├─ CBC → 比特翻转 / Padding Oracle
│  └─ 流密码 → LFSR / Berlekamp-Massey
├─ RSA
│  ├─ 小e → 开根号         ├─ 小d → Wiener
│  ├─ p≈q → Fermat          ├─ 公共模数 → ExtGCD
│  └─ 部分已知因子 → Coppersmith (SageMath)
├─ ECC
│  ├─ 阶有小因子 → Pohlig-Hellman
│  ├─ 奇异曲线 → 映射到加法群
│  └─ ECDSA nonce重用 → 恢复私钥
├─ 格/LWE → Babai CVP / LLL 短向量
├─ PRNG → MT19937 untemper / LCG / V8 xs128p
├─ ZKP → 碰撞/预测盐 / Z3求解
└─ 哈希 → 长度扩展(hashpump) / 生日攻击

速查工具

场景	工具/命令
RSA 自动攻击	`RsaCtfTool.py -n N -e E --uncipher C`
替换密码	quipqiup.com
SageMath	`sage -python script.py`（Coppersmith/ECC/格）
Z3 约束求解	`pip install z3-solver` → BitVec / Int
PRNG MT19937	`pip install not_random`（浮点恢复状态）
V8 Math.random	`d0nutptr/v8_rand_buster`
Padding Oracle	PadBuster / `padding-oracle` 库
XOR 操作	`from pwn import xor`

常用 Python 库

bash
pip install pycryptodome z3-solver sympy gmpy2

RSA 基础速查

python
from Crypto.Util.number import inverse, long_to_bytes
phi = (p-1)*(q-1)
d = inverse(e, phi)
m = pow(c, d, n)
print(long_to_bytes(m))

常见模式

RSA 乘法同态：未填充 RSA S(a)*S(b) mod n = S(a*b)，可组合签名伪造
CBC Padding Oracle：~4096 次查询解密一个16字节块
Bleichenbacher (ROBOT)：RSA PKCS#1 v1.5 填充oracle → ~10K 次查询恢复明文
CRC32 线性：追加4字节可伪造任意CRC32签名
哈希长度扩展：Merkle-Damgard 结构 hash(SECRET||data) 可追加数据

RSA 小指数攻击

当 e=3 时，若 m^3 < n（不取模、没有模运算），可直接开立方恢复明文

Padding Oracle 细节

每字节最多 256 次尝试，暴力尝试所有可能值

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ctf Crypto AI skill do?

Why use Ctf Crypto on TypingMind?

Because you install it once and use it with any model. Ctf Crypto is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ctf Crypto in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wgpsec/AboutSecurity/tree/master/skills/ctf/ctf-crypto. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ctf Crypto?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ctf Crypto?

As many as you like. As long as a model supports skills, you can use Ctf Crypto with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ctf Crypto AI skill free?

It is published on GitHub by wgpsec. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Triage

mattpocock

CommunityPopular

Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.

Claude Handoff

Hand the current conversation off to a fresh background agent that picks up the work immediately.

Finishing A Development Branch

obra

CommunityPopular

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Receiving Code Review

obra

CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

CTF 密码学攻击

深入参考

分类决策树

速查工具

常用 Python 库

RSA 基础速查

常见模式

RSA 小指数攻击

Padding Oracle 细节

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now