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patagontrace.py
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patagontrace.py
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import subprocess
import sys
import openai
import random
import string
import colorama
import shutil
import argparse
import readline
from colorama import Fore, Back, Style
from src.prompts import prompts
ascii_logo="""
██████╗░░█████╗░████████╗░█████╗░░██████╗░░█████╗░███╗░░██╗████████╗██████╗░░█████╗░░█████╗░███████╗
██╔══██╗██╔══██╗╚══██╔══╝██╔══██╗██╔════╝░██╔══██╗████╗░██║╚══██╔══╝██╔══██╗██╔══██╗██╔══██╗██╔════╝
██████╔╝███████║░░░██║░░░███████║██║░░██╗░██║░░██║██╔██╗██║░░░██║░░░██████╔╝███████║██║░░╚═╝█████╗░░
██╔═══╝░██╔══██║░░░██║░░░██╔══██║██║░░╚██╗██║░░██║██║╚████║░░░██║░░░██╔══██╗██╔══██║██║░░██╗██╔══╝░░
██║░░░░░██║░░██║░░░██║░░░██║░░██║╚██████╔╝╚█████╔╝██║░╚███║░░░██║░░░██║░░██║██║░░██║╚█████╔╝███████╗
╚═╝░░░░░╚═╝░░╚═╝░░░╚═╝░░░╚═╝░░╚═╝░╚═════╝░░╚════╝░╚═╝░░╚══╝░░░╚═╝░░░╚═╝░░╚═╝╚═╝░░╚═╝░╚════╝░╚══════╝
"""
# --- PCAP Analyzer Functions ---
def run_tshark_cmd(cmd):
process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = process.communicate()
if error:
print(f"Error: {error.decode('utf-8')}")
return None
return output.decode('utf-8').splitlines()
def run_tshark_cmd_and_process_result(cmd):
result = run_tshark_cmd(cmd)
if result is None:
print("Error running tshark command or tshark not found.")
return ""
result_text = ' '.join(result)
if len(result_text) > 7500:
result_text = result_text[:7500]
print("Trimming pcap text to 7500 characters for AI processing.")
return result_text
def pcap_to_txt(input_file):
cmd = f'tshark -r {input_file}'
return run_tshark_cmd_and_process_result(cmd)
def filtered_pcap_to_txt(input_file, filter_choice, filter_value):
if filter_choice in ["IP", "Frame", "Protocol"]:
tshark_filter = {
"IP": "ip.addr == {}",
"Frame": "frame.number == {}",
"Protocol": "{}"
}.get(filter_choice).format(filter_value)
else: # Custom filter
tshark_filter = "{} == {}".format(filter_choice, filter_value)
cmd = f'tshark -r {input_file} -Y "{tshark_filter}"'
return run_tshark_cmd_and_process_result(cmd)
def print_full_pcap(input_file):
cmd = f'tshark -r {input_file}'
full_pcap_text = run_tshark_cmd(cmd)
if full_pcap_text is None:
print("Error running tshark command or tshark not found.")
else:
for line in full_pcap_text:
print(line)
def is_valid_tshark_filter(input_file, custom_filter):
test_cmd = f'tshark -r {input_file} -Y "{custom_filter}"'
process = subprocess.Popen(test_cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
_, error = process.communicate()
return not error
def filter_pcap_by_frame(input_file, frame_number):
cmd = f'tshark -r {input_file} -Y "frame.number == {frame_number}" -T json'
return run_tshark_cmd_and_process_result(cmd)
# Other Functions
def display_main_menu():
term_width = shutil.get_terminal_size((80, 20)).columns
num_columns = 4
column_width = term_width // num_columns
filter_options = ["Protocol", "IP", "Frame", "Other", "None"]
formatted_options = []
for i, option in enumerate(filter_options):
formatted_option = f"{i + 1} - {option}"
padded_option = formatted_option.center(column_width)
formatted_options.append(padded_option)
print_pcap_option = Fore.WHITE + "P - Print PCAP".center(column_width) + Style.RESET_ALL
formatted_options.append(print_pcap_option)
print(
Fore.YELLOW
+ "Select a filter option:".center(term_width)
+ "\n"
)
print(Fore.YELLOW + "=" * term_width)
for formatted_option in formatted_options:
print(Fore.YELLOW + formatted_option, end="")
if (formatted_options.index(formatted_option) + 1) % num_columns == 0 and formatted_option != formatted_options[-1]:
print()
print(Fore.YELLOW + "\n" + "=" * term_width + Style.RESET_ALL)
def display_prompt_menu():
term_width = shutil.get_terminal_size((80, 20)).columns
num_columns = 3
column_width = term_width // num_columns
formatted_prompts = []
for i, prompt in enumerate(prompts):
formatted_prompt = f"{i + 1} - {prompt.split(':')[0]}"
padded_prompt = formatted_prompt.center(column_width)
formatted_prompts.append(padded_prompt)
special_options = [
Fore.WHITE + "0 - Go back to main menu".center(column_width) + Style.RESET_ALL,
Fore.WHITE + "P - Print Current PCAP".center(column_width) + Style.RESET_ALL
]
formatted_prompts.extend(special_options)
print(
Fore.YELLOW
+ "Choose a prompt, ask a question, or 'q' to quit:".center(term_width)
+ "\n"
)
print(Fore.YELLOW + "=" * term_width)
for i, formatted_prompt in enumerate(formatted_prompts):
print(Fore.YELLOW + formatted_prompt, end="")
if (i + 1) % num_columns == 0 and i != len(formatted_prompts) - 1:
print()
print(Fore.YELLOW + "\n" + "=" * term_width + Style.RESET_ALL)
def get_user_input(prompt):
term_width = shutil.get_terminal_size((80, 20)).columns
padding = (term_width - len(prompt)) // 2
sys.stdout.write("\033[K") # Clear the line
colored_prompt = Fore.YELLOW + prompt + Style.RESET_ALL
sys.stdout.write("\r" + " " * padding + colored_prompt)
sys.stdout.flush()
try:
return input()
except (EOFError, KeyboardInterrupt):
return "q"
def print_centered_no_newline(text):
term_width = shutil.get_terminal_size((80, 20)).columns
padding_left = (term_width - len(text)) // 2
print(" " * padding_left + text, end="")
def center_multiline_string(s):
term_width = shutil.get_terminal_size((80, 20)).columns
centered_lines = []
for line in s.split("\n"):
padding_left = (term_width - len(line)) // 2
centered_line = " " * padding_left + line
centered_lines.append(centered_line)
return "\n".join(centered_lines)
def main():
openai.api_key = ""
def parse_args():
parser = argparse.ArgumentParser(description="Patagontrace: Analyze your pcap with ChatGPT")
parser.add_argument("--model", default="gpt-3.5-turbo", choices=["gpt-4", "gpt-3.5-turbo", "code-davinci-002", "text-davinci-003"], help="Choose the API model to use")
parser.add_argument("--temperature", default=0.7, type=float, help="Control the randomness of the response")
parser.add_argument("--pcap", help="Path to pcap file for analysis")
return parser.parse_args()
args = parse_args()
if not args.pcap:
print("No pcap file provided. Exiting.")
sys.exit(0)
pcap_text = pcap_to_txt(args.pcap) # Get the full pcap text
print(Fore.YELLOW + center_multiline_string(ascii_logo))
print(Fore.CYAN + "AI-Generated Overview of the PCAP:" + Style.RESET_ALL)
initial_analysis_prompt = f"Provide a short overview of the following pcap:\n\n{pcap_text}"
initial_response = openai.ChatCompletion.create(model=args.model, messages=[{"role": "system", "content": initial_analysis_prompt}], temperature=args.temperature)
initial_analysis_overview = initial_response.choices[0].message['content'].strip()
print(Fore.CYAN + initial_analysis_overview + Style.RESET_ALL + "\n")
while True:
display_main_menu()
filter_choice = get_user_input("Select an option: ")
if filter_choice.lower() in ["quit", "q", "bye"]:
print(Fore.WHITE + "\nPatagontrace: In case I don’t see ya, good afternoon, good evening, and good night!\n")
break
# Check if the input is "P" for "Print PCAP" and handle it accordingly
if filter_choice.upper() == "P":
print_full_pcap(args.pcap) # Print the entire PCAP
continue # Continue to the main menu
try:
filter_choice = int(filter_choice)
if filter_choice < 1 or filter_choice > 5:
print(Fore.RED + "Invalid choice. Please enter a number between 1 and 5." + Style.RESET_ALL)
continue
except ValueError:
print(Fore.RED + "Invalid input. Please enter a number between 1 and 5." + Style.RESET_ALL)
continue
filter_type = ["Protocol", "IP", "Frame", "Other", "None", "Print Full PCAP"][filter_choice - 1]
filter_value = ""
current_pcap_text = pcap_text
if filter_type == "Other":
valid_filter = False
while not valid_filter:
filter_name = get_user_input("Enter custom filter name (e.g., diameter.cmd.code): ")
if filter_name.lower() in ["quit", "q", "bye"]:
print("Exiting filter selection.")
break
filter_value = get_user_input(f"Enter value for {filter_name}: ")
if filter_value.lower() in ["quit", "q", "bye"]:
print("Exiting filter selection.")
break
tshark_filter = f"{filter_name} == {filter_value}"
valid_filter = is_valid_tshark_filter(args.pcap, tshark_filter)
if not valid_filter:
print(Fore.RED + "Invalid filter. Please try again." + Style.RESET_ALL)
if filter_name.lower() in ["quit", "q", "bye"] or filter_value.lower() in ["quit", "q", "bye"]:
continue # Return to the main menu
current_pcap_text = filtered_pcap_to_txt(args.pcap, filter_name, filter_value)
elif filter_type == "Frame":
frame_number = get_user_input("Enter frame number to filter: ")
current_pcap_text = filter_pcap_by_frame(args.pcap, frame_number)
elif filter_type != "None":
filter_value = get_user_input(f"Enter {filter_type} value to filter: ")
current_pcap_text = filtered_pcap_to_txt(args.pcap, filter_type, filter_value)
while True:
display_prompt_menu()
prompt_choice = get_user_input("Choose a prompt or ask a question: ")
if prompt_choice.lower() in ["quit", "q", "bye"]:
break
if prompt_choice == "0":
break
if prompt_choice.upper() == "P":
print("\n--- PCAP Data ---")
print(current_pcap_text)
print("\n--- End of PCAP Data ---\n")
continue
combined_prompt = ""
if prompt_choice.strip().isdigit():
prompt_index = int(prompt_choice.strip()) - 1
if 0 <= prompt_index < len(prompts):
chosen_prompt = prompts[prompt_index].split(':')[1].strip()
if filter_type != "None":
combined_prompt = f"{chosen_prompt} focusing on {filter_type} {filter_value}: {current_pcap_text}"
else:
combined_prompt = f"{chosen_prompt}: {current_pcap_text}"
else:
if filter_type != "None":
combined_prompt = f"{prompt_choice} focusing on {filter_type} {filter_value}: {current_pcap_text}"
else:
combined_prompt = f"{prompt_choice}: {current_pcap_text}"
messages = [{"role": "user", "content": combined_prompt}]
response = openai.ChatCompletion.create(model=args.model, messages=messages, temperature=args.temperature)
reply = response.choices[0].message['content']
print(Fore.YELLOW + "\nPatagontrace: " + reply + "\n")
if prompt_choice.lower() in ["quit", "q", "bye"]:
print(Fore.WHITE + "\nPatagontrace: In case I don’t see ya, good afternoon, good evening, and good night!\n")
break
if __name__ == "__main__":
main()