Evo Erlang Ssh Cve Patch logo

Evo Erlang Ssh Cve Patch

Organization
OpenLAIR
evo-erlang-ssh-cve-patch

Identifies and patches CVE-2025-32433 in Erlang/OTP SSH server source code by inserting an authentication-state check in ssh_connection.erl that rejects connection protocol messages (IDs >= 80) received before authentication is complete.

Overview

PublisherOpenLAIR
RepositoryOpenSkill
Skill nameevo-erlang-ssh-cve-patch
Stars
97
Forks
4
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Evo Erlang Ssh Cve Patch 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/OpenLAIR/OpenSkill/tree/main/tasks-evolved/fix-erlang-ssh-cve/environment/skills/evo-erlang-ssh-cve-patch
  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/OpenLAIR/OpenSkill.git /tmp/OpenSkill
mkdir -p .claude/skills
cp -r /tmp/OpenSkill/tasks-evolved/fix-erlang-ssh-cve/environment/skills/evo-erlang-ssh-cve-patch .claude/skills/evo-erlang-ssh-cve-patch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evo Erlang Ssh Cve Patch 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 Evo Erlang Ssh Cve Patch 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 Evo Erlang Ssh Cve Patch 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.

evo-erlang-ssh-cve-patch

Overview

CVE-2025-32433 is a critical (CVSS 10.0) pre-authentication Remote Code Execution vulnerability in Erlang/OTP SSH server. The server fails to validate authentication state before processing SSH connection protocol messages (message IDs >= 80), allowing attackers to execute arbitrary commands without credentials.

Vulnerability Details

  • Root Cause: ssh_connection.erl's handle_msg/4 function processes channel messages (SSH_MSG_CHANNEL_OPEN, SSH_MSG_CHANNEL_REQUEST) without checking if #ssh{authenticated} is true
  • Attack Vector: After completing key exchange, attacker sends SSH_MSG_CHANNEL_OPEN (ID 90) + SSH_MSG_CHANNEL_REQUEST (ID 98) with exec type, bypassing authentication entirely
  • Affected Versions: All Erlang/OTP versions before 27.3.3, 26.2.5.11, 25.3.2.20

The Fix

Add a pattern-matching clause in ssh_connection.erl that catches ANY message when authenticated = false on the server side, returning a disconnect error. This clause must be placed BEFORE any channel message handlers but is naturally placed after any disconnect handler.

Exact Erlang Code to Insert

erlang
handle_msg(_Msg, Connection, server, #ssh{authenticated = false}) ->
    %% RFC 4252 Section 6:
    %% Message numbers of 80 and higher are reserved for protocols running
    %% after this authentication protocol, so receiving one of them before
    %% authentication is complete is an error, to which the server MUST
    %% respond by disconnecting.
    {disconnect, {?SSH_DISCONNECT_PROTOCOL_ERROR,
                  "Unauthenticated connection protocol message"}, Connection};

Insertion Point

Insert this clause right before the first handle_msg(#ssh_msg_channel_open_confirmation{... clause, which is the first channel message handler in the function.

Usage

python
import sys
sys.path.insert(0, '/app/environment/skills/evo-erlang-ssh-cve-patch/scripts')
from utils import find_ssh_connection_erl, check_if_already_patched, apply_cve_2025_32433_patch, validate_patch_applied

# Find the file
file_path = find_ssh_connection_erl('/app/workspace/otp_src_27.3.2')

# Check if already patched
if not check_if_already_patched(file_path):
    apply_cve_2025_32433_patch(file_path)

# Validate
assert validate_patch_applied(file_path), "Patch validation failed!"

Key Technical Details

  • The macro ?SSH_DISCONNECT_PROTOCOL_ERROR is defined in ssh_transport.hrl (value 2)
  • The #ssh{} record with authenticated = false field is in ssh.hrl
  • Both headers are already included by ssh_connection.erl
  • Erlang evaluates function clauses top-to-bottom, so this catch-all must come before specific channel handlers
  • The server atom in the 3rd argument ensures this only affects server-side connections (clients are unaffected)

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 Evo Erlang Ssh Cve Patch AI skill do?

Identifies and patches CVE-2025-32433 in Erlang/OTP SSH server source code by inserting an authentication-state check in ssh_connection.erl that rejects connection protocol messages (IDs >= 80) received before authentication is complete.

Why use Evo Erlang Ssh Cve Patch on TypingMind?

Because you install it once and use it with any model. Evo Erlang Ssh Cve Patch 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 Evo Erlang Ssh Cve Patch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenLAIR/OpenSkill/tree/main/tasks-evolved/fix-erlang-ssh-cve/environment/skills/evo-erlang-ssh-cve-patch. 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 Evo Erlang Ssh Cve Patch?

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 Evo Erlang Ssh Cve Patch?

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

Is the Evo Erlang Ssh Cve Patch AI skill free?

Yes. It is published on GitHub by OpenLAIR under the Apache-2.0 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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