README
¶
TL;DR: Galah (/ɡəˈlɑː/ - pronounced ‘guh-laa’) is an LLM-powered web honeypot designed to mimic various applications and dynamically respond to arbitrary HTTP requests. Galah supports multiple LLM providers, including OpenAI.
Unlike traditional web honeypots that manually emulate specific web applications or vulnerabilities, Galah dynamically crafts relevant responses—including HTTP headers and body content—to any HTTP request. Responses generated by the LLM are cached for a configurable period to prevent repetitive generation for identical requests, reducing API costs. The caching is port-specific, ensuring that responses generated for a particular port will not be reused for the same request on a different port.
The prompt configuration is key in this honeypot. While you can update the prompt in the configuration file, it is crucial to maintain the segment directing the LLM to produce responses in the specified JSON format.
Note: Galah was developed as a fun weekend project to explore the capabilities of LLMs in crafting HTTP messages and is not intended for production use. The honeypot may be identifiable through various methods such as network fingerprinting techniques, prolonged response times depending on the LLM provider and model, and non-standard responses. To protect against Denial of Wallet attacks, be sure to set usage limits on your LLM API.
Getting Started
Local Deployment
- Ensure you have Go version 1.20+ installed.
- Create an LLM API key (e.g. from here for OpenAI).
- If you want to serve HTTPS ports, generate TLS certificates.
- Clone the repo and install the dependencies.
- Update the
config.yamlfile if needed. - Build and run the Go binary!
% git clone git@github.com:0x4D31/galah.git
% cd galah
% go mod download
% go build
% export LLM_API_KEY=your-api-key
% ./galah --help
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llm-based web honeypot // version 1.1
author: Adel "0x4D31" Karimi
Usage: galah --api-key API-KEY [--provider PROVIDER] [--model MODEL] [--interface INTERFACE] [--config CONFIG] [--database DATABASE] [--output OUTPUT] [--log-level LOG-LEVEL]
Options:
--api-key API-KEY, -k API-KEY
LLM API Key [env: LLM_API_KEY]
--provider PROVIDER, -p PROVIDER
LLM provider [default: openai, env: LLM_PROVIDER]
--model MODEL, -m MODEL
LLM model [default: gpt-3.5-turbo-1106, env: LLM_MODEL]
--interface INTERFACE, -i INTERFACE
Interface to serve on
--config CONFIG, -c CONFIG
Path to config file [default: config.yaml]
--database DATABASE, -d DATABASE
Path to database file for cache [default: cache.db]
--output OUTPUT, -o OUTPUT
Path to output log file [default: log.json]
--log-level LOG-LEVEL, -l LOG-LEVEL
Log level (debug, info, error, fatal) [default: info]
--help, -h display this help and exit
Run in Docker
- Ensure you have Docker CE or EE installed locally.
- Clone the repo and build the docker image.
- You can mount a local directory to the container to store the logs.
- Run the docker container.
% git clone git@github.com:0x4D31/galah.git
% cd galah
% mkdir logs
% export LLM_API_KEY=your-api-key
% docker build -t galah-image .
% docker run -d -p 8080:8080 -v /Users/test/galah/logs:/galah/logs -e LLM_API_KEY galah-image -o logs/galah.json
Example Responses
Here are some example responses:
Example 1
% curl http://localhost:8080/login.php
<!DOCTYPE html><html><head><title>Login Page</title></head><body><form action='/submit.php' method='post'><label for='uname'><b>Username:</b></label><br><input type='text' placeholder='Enter Username' name='uname' required><br><label for='psw'><b>Password:</b></label><br><input type='password' placeholder='Enter Password' name='psw' required><br><button type='submit'>Login</button></form></body></html>
JSON log record:
{"timestamp":"2024-01-01T05:38:08.854878","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"51978","sensorName":"home-sensor","port":"8080","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/login.php","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Content-Type":"text/html","Server":"Apache/2.4.38"},"body":"\u003c!DOCTYPE html\u003e\u003chtml\u003e\u003chead\u003e\u003ctitle\u003eLogin Page\u003c/title\u003e\u003c/head\u003e\u003cbody\u003e\u003cform action='/submit.php' method='post'\u003e\u003clabel for='uname'\u003e\u003cb\u003eUsername:\u003c/b\u003e\u003c/label\u003e\u003cbr\u003e\u003cinput type='text' placeholder='Enter Username' name='uname' required\u003e\u003cbr\u003e\u003clabel for='psw'\u003e\u003cb\u003ePassword:\u003c/b\u003e\u003c/label\u003e\u003cbr\u003e\u003cinput type='password' placeholder='Enter Password' name='psw' required\u003e\u003cbr\u003e\u003cbutton type='submit'\u003eLogin\u003c/button\u003e\u003c/form\u003e\u003c/body\u003e\u003c/html\u003e"}}
Example 2
% curl http://localhost:8080/.aws/credentials
[default]
aws_access_key_id = AKIAIOSFODNN7EXAMPLE
aws_secret_access_key = wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
region = us-west-2
JSON log record:
{"timestamp":"2024-01-01T05:40:34.167361","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"65311","sensorName":"home-sensor","port":"8080","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/.aws/credentials","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Connection":"close","Content-Encoding":"gzip","Content-Length":"126","Content-Type":"text/plain","Server":"Apache/2.4.51 (Unix)"},"body":"[default]\naws_access_key_id = AKIAIOSFODNN7EXAMPLE\naws_secret_access_key = wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY\nregion = us-west-2"}}
Okay, that was impressive!
Example 3
Now, let's do some sort of adversarial testing!
% curl http://localhost:8888/are-you-a-honeypot
No, I am a server.`
JSON log record:
{"timestamp":"2024-01-01T05:50:43.792479","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"61982","sensorName":"home-sensor","port":"8888","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/are-you-a-honeypot","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Connection":"close","Content-Length":"20","Content-Type":"text/plain","Server":"Apache/2.4.41 (Ubuntu)"},"body":"No, I am a server."}}
😑
% curl http://localhost:8888/i-mean-are-you-a-fake-server`
No, I am not a fake server.
JSON log record:
{"timestamp":"2024-01-01T05:51:40.812831","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"62205","sensorName":"home-sensor","port":"8888","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/i-mean-are-you-a-fake-server","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Connection":"close","Content-Type":"text/plain","Server":"LocalHost/1.0"},"body":"No, I am not a fake server."}}
You're a galah, mate!
Documentation
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There is no documentation for this package.
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