Create app.py

app.py

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+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
+
+# 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)."
+)
+
+
+