app.py

import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from wordlist_generator import generate_wordlist  # A mock-up function for your project
from dotenv import load_dotenv
import os

load_dotenv()  # Load environment variables from .env file
access_token = os.getenv("HUGGINGFACE_ACCESS_TOKEN")

# Page configuration
st.set_page_config(page_title="ReconNinja Wordlists", page_icon="💬", layout="wide")

# Header section
st.title("💬 ReconNinja Wordlists")
st.subheader("Tailored wordlists for efficient penetration testing")
st.markdown(
    """
    This application generates customized wordlists for use in network reconnaissance and penetration testing. 
    Adjust the parameters to generate wordlists suited for your specific testing scenario.
    """
)

# Sidebar for user input
st.sidebar.header("Customize Your Wordlist")
st.sidebar.markdown(
    """
    Adjust the following parameters to create wordlists optimized for your penetration testing tasks.
    """
)

# Wordlist customization settings
wordlist_size = st.sidebar.slider("Wordlist Size", min_value=50, max_value=10000, value=1000, step=50)
min_length = st.sidebar.slider("Minimum Word Length", min_value=3, max_value=12, value=6)
max_length = st.sidebar.slider("Maximum Word Length", min_value=3, max_value=12, value=8)
include_special_chars = st.sidebar.checkbox("Include Special Characters", value=False)
include_numbers = st.sidebar.checkbox("Include Numbers", value=True)

# Display wordlist generation results
st.header("Generated Wordlist Preview")

# Call to a mock-up function for wordlist generation (you will replace this with your actual logic)
wordlist = generate_wordlist(
    size=wordlist_size, 
    min_length=min_length, 
    max_length=max_length, 
    special_chars=include_special_chars, 
    numbers=include_numbers
)

# Display the first 20 items in the wordlist
st.write(f"Preview of {wordlist_size} words:")
st.write(wordlist[:20])  # Show the first 20 words for brevity

# Download link for the full wordlist
st.markdown("### Download Full Wordlist")
csv_data = pd.Series(wordlist).to_csv(index=False).encode()
st.download_button(
    label="Download Wordlist as CSV",
    data=csv_data,
    file_name="reconninja_wordlist.csv",
    mime="text/csv"
)

# Visualize wordlist statistics (for example, word length distribution)
st.header("Wordlist Statistics")
word_lengths = [len(word) for word in wordlist]
word_length_df = pd.DataFrame(word_lengths, columns=["Word Length"])

# Create a histogram to show the distribution of word lengths
fig, ax = plt.subplots(figsize=(8, 6))
sns.histplot(word_length_df["Word Length"], kde=True, bins=20, ax=ax)
ax.set_title("Word Length Distribution")
ax.set_xlabel("Word Length")
ax.set_ylabel("Frequency")
st.pyplot(fig)

# Advanced Feature - Analyzing Wordlist Security
st.header("Analyze Wordlist Security")

# Slider for password entropy calculation
entropy_slider = st.slider(
    "Select Entropy Multiplier", 
    min_value=1.0, 
    max_value=10.0, 
    value=3.0, 
    step=0.1
)

# Simulate password entropy calculation (simple calculation for demonstration)
entropy = np.log2(len(wordlist) ** entropy_slider)
st.write(f"Estimated Entropy: {entropy:.2f} bits")

# Showcase a mock security analysis (this would be expanded in your actual app)
if entropy < 50:
    st.warning("Low entropy detected! This wordlist might be vulnerable to brute-force attacks.")
else:
    st.success("Good entropy! This wordlist is secure against most brute-force attempts.")

# Footer
st.markdown("---")
st.markdown(
    "Made with ❤️ by Canstralian. For more information on ReconNinja, visit our [GitHub](https://github.com/Canstralian)."
)