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Svc Ssh

Community
s0ld13rr
svc-ssh

SSH version CVEs and post-auth tricks — regreSSHion, user enum, agent hijack. Use when SSH is open. Triggers - port 22, OpenSSH banner, regreSSHion CVE-2024-6387, CVE-2018-15473.

Overview

Publishers0ld13rr
Repositorypentestcode
Skill namesvc-ssh
Stars
834
Forks
131
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by s0ld13rr on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/s0ld13rr/pentestcode/tree/main/skills/services/ssh
  4. 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.
2

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/s0ld13rr/pentestcode.git /tmp/pentestcode
mkdir -p .claude/skills
cp -r /tmp/pentestcode/skills/services/ssh .claude/skills/svc-ssh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Svc Ssh 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 Svc Ssh 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 Svc Ssh 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.

SSH — Version CVEs & Tricks

CVE-2024-6387 (regreSSHion)

OpenSSH 8.5–9.7 on glibc-based Linux. Race condition → unauthenticated RCE. Public PoCs exist but are slow/unreliable — confirm version, note as high-value finding.

CVE-2018-15473 (user enumeration)

OpenSSH <7.7. Timing-based username enumeration. ssh-audit TARGET or Metasploit auxiliary/scanner/ssh/ssh_enumusers. User list → password spray / AS-REP roast.

SSH agent forwarding hijack

If another user has agent forwarding enabled: find /tmp -name "agent.*" → SSH_AUTH_SOCK=/tmp/agent.XXXX ssh other-target

Post-auth pivot intel

  • ~/.ssh/config — other hosts, jump hosts, proxy configs
  • ~/.ssh/known_hosts — every host this user connected to
  • ~/.ssh/authorized_keys — who else has access (persistence opportunity)

Auth method check

ssh -o PreferredAuthentications=none TARGET reveals accepted methods. If only publickey → password brute is impossible, don't waste time on hydra.

Frequently asked questions

What does the Svc Ssh AI skill do?

SSH version CVEs and post-auth tricks — regreSSHion, user enum, agent hijack. Use when SSH is open. Triggers - port 22, OpenSSH banner, regreSSHion CVE-2024-6387, CVE-2018-15473.

Why use Svc Ssh on TypingMind?

Because you install it once and use it with any model. Svc Ssh 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 Svc Ssh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/s0ld13rr/pentestcode/tree/main/skills/services/ssh. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Svc Ssh?

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 Svc Ssh?

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

Is the Svc Ssh AI skill free?

Yes. It is published on GitHub by s0ld13rr under the MIT license. 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.

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