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from transformers import pipeline
import openai
# Load exploit detection model
exploit_detector = pipeline("text-classification", model="Canstralian/CySec_Known_Exploit_Analyzer")
# Initialize OpenAI API (or Replit's API)
openai.api_key = "your-openai-api-key"
def detect_and_remediate(exploit_input):
# Step 1: Detect exploit
exploit_result = exploit_detector(exploit_input)
if exploit_result[0]['label'] == "EXPLOIT_DETECTED":
print("Exploit detected!")
# Step 2: Generate remediation code using Replit’s code model
remediation_prompt = f"Generate Python code to fix the following exploit: {exploit_input}"
remediation_code = openai.Completion.create(
engine="code-davinci-002", # Or Replit's equivalent
prompt=remediation_prompt,
max_tokens=150
)
return remediation_code.choices[0].text.strip()
else:
return "No exploit detected."
# Example input: a piece of code or log indicating a vulnerability
input_code = "Vulnerable code snippet here"
remediation = detect_and_remediate(input_code)
print(remediation)
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