mirror of
https://github.com/mariocandela/beelzebub.git
synced 2025-07-01 18:47:26 -04:00
a1e96738fb
* improve beelzebub cloud integration * refactoring cloud integration, fix unit test * add unit test get honeypots * improve code coverage
230 lines
5.6 KiB
Go
230 lines
5.6 KiB
Go
package plugins
|
|
|
|
import (
|
|
"encoding/json"
|
|
"errors"
|
|
"fmt"
|
|
"github.com/go-resty/resty/v2"
|
|
"github.com/mariocandela/beelzebub/v3/tracer"
|
|
|
|
log "github.com/sirupsen/logrus"
|
|
)
|
|
|
|
const (
|
|
systemPromptVirtualizeLinuxTerminal = "You will act as an Ubuntu Linux terminal. The user will type commands, and you are to reply with what the terminal should show. Your responses must be contained within a single code block. Do not provide explanations or type commands unless explicitly instructed by the user. Your entire response/output is going to consist of a simple text with \n for new line, and you will NOT wrap it within string md markers"
|
|
systemPromptVirtualizeHTTPServer = "You will act as an unsecure HTTP Server with multiple vulnerability like aws and git credentials stored into root http directory. The user will send HTTP requests, and you are to reply with what the server should show. Do not provide explanations or type commands unless explicitly instructed by the user."
|
|
LLMPluginName = "LLMHoneypot"
|
|
openAIGPTEndpoint = "https://api.openai.com/v1/chat/completions"
|
|
ollamaEndpoint = "http://localhost:11434/api/chat"
|
|
)
|
|
|
|
type LLMHoneypot struct {
|
|
Histories []Message
|
|
OpenAIKey string
|
|
client *resty.Client
|
|
Protocol tracer.Protocol
|
|
Model LLMModel
|
|
Host string
|
|
}
|
|
|
|
type Choice struct {
|
|
Message Message `json:"message"`
|
|
Index int `json:"index"`
|
|
FinishReason string `json:"finish_reason"`
|
|
}
|
|
|
|
type Response struct {
|
|
ID string `json:"id"`
|
|
Object string `json:"object"`
|
|
Created int `json:"created"`
|
|
Model string `json:"model"`
|
|
Choices []Choice `json:"choices"`
|
|
Message Message `json:"message"`
|
|
Usage struct {
|
|
PromptTokens int `json:"prompt_tokens"`
|
|
CompletionTokens int `json:"completion_tokens"`
|
|
TotalTokens int `json:"total_tokens"`
|
|
} `json:"usage"`
|
|
}
|
|
|
|
type Request struct {
|
|
Model string `json:"model"`
|
|
Messages []Message `json:"messages"`
|
|
Stream bool `json:"stream"`
|
|
}
|
|
|
|
type Message struct {
|
|
Role string `json:"role"`
|
|
Content string `json:"content"`
|
|
}
|
|
|
|
type Role int
|
|
|
|
const (
|
|
SYSTEM Role = iota
|
|
USER
|
|
ASSISTANT
|
|
)
|
|
|
|
func (role Role) String() string {
|
|
return [...]string{"system", "user", "assistant"}[role]
|
|
}
|
|
|
|
type LLMModel int
|
|
|
|
const (
|
|
LLAMA3 LLMModel = iota
|
|
GPT4O
|
|
)
|
|
|
|
func FromStringToLLMModel(llmModel string) (LLMModel, error) {
|
|
switch llmModel {
|
|
case "llama3":
|
|
return LLAMA3, nil
|
|
case "gpt4-o":
|
|
return GPT4O, nil
|
|
default:
|
|
return -1, fmt.Errorf("model %s not found", llmModel)
|
|
}
|
|
}
|
|
|
|
func InitLLMHoneypot(config LLMHoneypot) *LLMHoneypot {
|
|
// Inject the dependencies
|
|
config.client = resty.New()
|
|
|
|
return &config
|
|
}
|
|
|
|
func buildPrompt(histories []Message, protocol tracer.Protocol, command string) ([]Message, error) {
|
|
var messages []Message
|
|
|
|
switch protocol {
|
|
case tracer.SSH:
|
|
messages = append(messages, Message{
|
|
Role: SYSTEM.String(),
|
|
Content: systemPromptVirtualizeLinuxTerminal,
|
|
})
|
|
messages = append(messages, Message{
|
|
Role: USER.String(),
|
|
Content: "pwd",
|
|
})
|
|
messages = append(messages, Message{
|
|
Role: ASSISTANT.String(),
|
|
Content: "/home/user",
|
|
})
|
|
for _, history := range histories {
|
|
messages = append(messages, history)
|
|
}
|
|
case tracer.HTTP:
|
|
messages = append(messages, Message{
|
|
Role: SYSTEM.String(),
|
|
Content: systemPromptVirtualizeHTTPServer,
|
|
})
|
|
messages = append(messages, Message{
|
|
Role: USER.String(),
|
|
Content: "GET /index.html",
|
|
})
|
|
messages = append(messages, Message{
|
|
Role: ASSISTANT.String(),
|
|
Content: "<html><body>Hello, World!</body></html>",
|
|
})
|
|
default:
|
|
return nil, errors.New("no prompt for protocol selected")
|
|
}
|
|
messages = append(messages, Message{
|
|
Role: USER.String(),
|
|
Content: command,
|
|
})
|
|
|
|
return messages, nil
|
|
}
|
|
|
|
func (llmHoneypot *LLMHoneypot) openAICaller(messages []Message) (string, error) {
|
|
var err error
|
|
|
|
requestJson, err := json.Marshal(Request{
|
|
Model: "gpt-4o",
|
|
Messages: messages,
|
|
Stream: false,
|
|
})
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
|
|
if llmHoneypot.OpenAIKey == "" {
|
|
return "", errors.New("openAIKey is empty")
|
|
}
|
|
|
|
if llmHoneypot.Host == "" {
|
|
llmHoneypot.Host = openAIGPTEndpoint
|
|
}
|
|
|
|
log.Debug(string(requestJson))
|
|
response, err := llmHoneypot.client.R().
|
|
SetHeader("Content-Type", "application/json").
|
|
SetBody(requestJson).
|
|
SetAuthToken(llmHoneypot.OpenAIKey).
|
|
SetResult(&Response{}).
|
|
Post(llmHoneypot.Host)
|
|
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
log.Debug(response)
|
|
if len(response.Result().(*Response).Choices) == 0 {
|
|
return "", errors.New("no choices")
|
|
}
|
|
|
|
return response.Result().(*Response).Choices[0].Message.Content, nil
|
|
}
|
|
|
|
func (llmHoneypot *LLMHoneypot) ollamaCaller(messages []Message) (string, error) {
|
|
var err error
|
|
|
|
requestJson, err := json.Marshal(Request{
|
|
Model: "llama3",
|
|
Messages: messages,
|
|
Stream: false,
|
|
})
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
|
|
if llmHoneypot.Host == "" {
|
|
llmHoneypot.Host = ollamaEndpoint
|
|
}
|
|
|
|
log.Debug(string(requestJson))
|
|
response, err := llmHoneypot.client.R().
|
|
SetHeader("Content-Type", "application/json").
|
|
SetBody(requestJson).
|
|
SetResult(&Response{}).
|
|
Post(llmHoneypot.Host)
|
|
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
log.Debug(response)
|
|
|
|
return response.Result().(*Response).Message.Content, nil
|
|
}
|
|
|
|
func (llmHoneypot *LLMHoneypot) ExecuteModel(command string) (string, error) {
|
|
var err error
|
|
|
|
prompt, err := buildPrompt(llmHoneypot.Histories, llmHoneypot.Protocol, command)
|
|
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
|
|
switch llmHoneypot.Model {
|
|
case LLAMA3:
|
|
return llmHoneypot.ollamaCaller(prompt)
|
|
case GPT4O:
|
|
return llmHoneypot.openAICaller(prompt)
|
|
default:
|
|
return "", errors.New("no model selected")
|
|
}
|
|
}
|