Canstralian commited on
Commit
d7bdd71
·
verified ·
1 Parent(s): d36261c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +24 -11
app.py CHANGED
@@ -1,31 +1,44 @@
1
  from transformers import pipeline
2
  import openai
3
 
4
- # Load exploit detection model
5
  exploit_detector = pipeline("text-classification", model="Canstralian/CySec_Known_Exploit_Analyzer")
6
 
7
  # Initialize OpenAI API (or Replit's API)
8
- openai.api_key = "your-openai-api-key"
9
 
10
  def detect_and_remediate(exploit_input):
11
- # Step 1: Detect exploit
 
 
 
 
 
 
 
 
 
12
  exploit_result = exploit_detector(exploit_input)
13
  if exploit_result[0]['label'] == "EXPLOIT_DETECTED":
14
  print("Exploit detected!")
15
 
16
- # Step 2: Generate remediation code using Replit’s code model
17
  remediation_prompt = f"Generate Python code to fix the following exploit: {exploit_input}"
18
- remediation_code = openai.Completion.create(
19
- engine="code-davinci-002", # Or Replit's equivalent
20
  prompt=remediation_prompt,
21
  max_tokens=150
22
  )
23
 
24
- return remediation_code.choices[0].text.strip()
 
 
 
25
  else:
26
  return "No exploit detected."
27
 
28
- # Example input: a piece of code or log indicating a vulnerability
29
- input_code = "Vulnerable code snippet here"
30
- remediation = detect_and_remediate(input_code)
31
- print(remediation)
 
 
1
  from transformers import pipeline
2
  import openai
3
 
4
+ # Initialize the exploit detection model
5
  exploit_detector = pipeline("text-classification", model="Canstralian/CySec_Known_Exploit_Analyzer")
6
 
7
  # Initialize OpenAI API (or Replit's API)
8
+ openai.api_key = "your-openai-api-key" # Replace with your actual API key
9
 
10
  def detect_and_remediate(exploit_input):
11
+ """
12
+ Detects an exploit in the input and generates remediation code if an exploit is found.
13
+
14
+ Args:
15
+ exploit_input (str): The code or log input that might contain an exploit.
16
+
17
+ Returns:
18
+ str: The remediation code or a message indicating no exploit was detected.
19
+ """
20
+ # Step 1: Detect the exploit
21
  exploit_result = exploit_detector(exploit_input)
22
  if exploit_result[0]['label'] == "EXPLOIT_DETECTED":
23
  print("Exploit detected!")
24
 
25
+ # Step 2: Generate remediation code
26
  remediation_prompt = f"Generate Python code to fix the following exploit: {exploit_input}"
27
+ remediation_response = openai.Completion.create(
28
+ engine="code-davinci-002", # Or Replit's equivalent code model
29
  prompt=remediation_prompt,
30
  max_tokens=150
31
  )
32
 
33
+ # Extracting the generated remediation code
34
+ remediation_code = remediation_response.choices[0].text.strip()
35
+
36
+ return remediation_code
37
  else:
38
  return "No exploit detected."
39
 
40
+ if __name__ == "__main__":
41
+ # Example input: a piece of code or log indicating a vulnerability
42
+ input_code = "Vulnerable code snippet here"
43
+ remediation = detect_and_remediate(input_code)
44
+ print("Remediation Code:", remediation)