Implement persistent IP-to-hostname mapping

.github/dependabot.yaml

@@ -0,0 +1,14 @@
+version: 2
+updates:
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "daily"
+    assignees:
+      - "Rameen-Mahmood"
+    versioning-strategy: "increase-if-necessary"
+
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "daily"

.github/workflows/ci-parse.yml

@@ -0,0 +1,45 @@
+name: CI
+
+on:
+  push:
+    branches:
+      - main
+      - add-ci
+  pull_request:
+    branches:
+      - main
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check out the repository
+        uses: actions/checkout@v3 
+
+      - name: Set up Python
+        uses: actions/setup-python@v4 
+        with:
+          python-version: '3.9'
+
+      - name: Cache Python packages
+        uses: actions/cache@v3
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
+          restore-keys: |
+            ${{ runner.os }}-pip-
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+
+      - name: Install tshark
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y tshark
+
+      - name: Run parse.py on sample data
+        run: python parse.py output.csv ./tests/sample_pcap_directory

parse.py

@@ -21,11 +21,10 @@
 import sys
 import os
 import glob
-import pathlib
 import platform
 import shutil
-
-
+import shelve
+import socket
 
 if platform.system() == "Darwin":
     # Define the path to tshark within the Wireshark.app package
@@ -35,137 +34,96 @@
 else:
     sys.exit("This script requires *nix.")
 
+unresolvable_ips = []  # List to keep track of unresolvable IP addresses
+
 def main():
     # Parse the command line arguments
-    if len(sys.argv) != 3:
-        print("Usage: python parse.py <output_csv_file> <path_to_pcap_file_or_directory>")
-        return
-
-    output_csv_file = sys.argv[1]
-    pcap_path = sys.argv[2]
-
-    # Check if the path is a directory or a single file
-    if os.path.isdir(pcap_path):
-        pcap_files = glob.glob(os.path.join(pcap_path, '*.pcap'))
-    elif os.path.isfile(pcap_path) and pcap_path.endswith('.pcap'):
-        pcap_files = [pcap_path]
-    else:
-        print(f"No valid pcap files found at the specified path: {pcap_path}")
-        return
-
-    if not pcap_files:
-        print("No pcap files found.")
-        return
-
-    # Process each pcap file and concatenate the resultant DataFrames
-    df_list = []
-    for pcap_file in pcap_files:
-        print(f"Parsing pcap file: {pcap_file}")
-        df = run_tshark(pcap_file)
-        if df is not None:
-            df_list.append(df)
-
-    if not df_list:
-        print("Failed to parse any pcap files.")
-        return
-
-    # Combine into a single DataFrame
-    combined_df = pd.concat(df_list).sort_values(by='frame.time_epoch')
-
-    # Maps IP addresses to hostnames
-    ip_hostname_dict = {}
-
-    # Extract all IP -> hostname mappings from SNI fields
-    sni_df = combined_df[
-        combined_df['tls.handshake.extensions_server_name'].notna()
-    ]
-    for (_, row) in sni_df.iterrows():
-        ip = row['ip.dst']
-        hostname = row['tls.handshake.extensions_server_name']
-        ip_hostname_dict[ip] = hostname
-
-    # Extract all IP -> hostname mappings from DNS fields
-    dns_df = combined_df[
-        combined_df['dns.qry.name'].notna() &
-        combined_df['dns.a'].notna()
-    ]
-    for (_, row) in dns_df.iterrows():
-        for ip in row['dns.a'].split(','):
-            hostname = row['dns.qry.name']
-            ip_hostname_dict[ip] = hostname
-
-    # Remove the SNI and DNS fields
-    del combined_df['tls.handshake.extensions_server_name']
-    del combined_df['dns.qry.name']
-    del combined_df['dns.a']
-
-    # Fill in the hostnames for each IP address
-    combined_df['src_hostname'] = combined_df['ip.src'].map(
-        lambda x: ip_hostname_dict.get(x, None)
-    )
-    combined_df['dst_hostname'] = combined_df['ip.dst'].map(
-        lambda x: ip_hostname_dict.get(x, None)
-    )
-
-    # Write the results to a CSV file
-    combined_df.to_csv(output_csv_file, index=False)
-
-
-def run_tshark(pcap_file):
+    ip_shelve_path = 'ip_hostname_db'
+    with shelve.open(ip_shelve_path) as ip_shelve:
+        if len(sys.argv) != 3:
+            print("Usage: python parse.py <output_csv_file> <path_to_pcap_file_or_directory>")
+            return
+
+        output_csv_file = sys.argv[1]
+        pcap_path = sys.argv[2]
+
+        if os.path.isdir(pcap_path):
+            pcap_files = glob.glob(os.path.join(pcap_path, '*.pcap'))
+        elif os.path.isfile(pcap_path) and pcap_path.endswith('.pcap'):
+            pcap_files = [pcap_path]
+        else:
+            print(f"No valid pcap files found at the specified path: {pcap_path}")
+            return
+
+        if not pcap_files:
+            print("No pcap files found.")
+            return
+        # Process each pcap file and concatenate the resultant DataFrames
+        df_list = []
+        for pcap_file in pcap_files:
+            df = run_tshark(pcap_file, ip_shelve)
+            if df is not None:
+                df_list.append(df)
+
+        if not df_list:
+            print("Failed to parse any pcap files.")
+            return
+
+        combined_df = pd.concat(df_list).sort_values(by='frame.time_epoch')
+        combined_df.to_csv(output_csv_file, index=False)
+        print(f"Output file created: {output_csv_file}")
+        if unresolvable_ips:
+            print("Unresolvable IP addresses:", unresolvable_ips)
+
+def run_tshark(pcap_file, ip_shelve):
     """
     Run tshark on a pcap file and return the output as a Pandas DataFrame.
     """
-
-    # Define the fields to extract
-    fields = [
-        'frame.time_epoch',
-        'eth.src', 'eth.dst',
-        'ip.src', 'ip.dst',
-        'tcp.srcport', 'tcp.dstport',
-        'udp.srcport', 'udp.dstport',
-        '_ws.col.Protocol', 'frame.len',
-        'dns.qry.name', 'dns.a',
-        'tls.handshake.extensions_server_name'
-    ]
-
-    # Create the command to run tshark
-    command = [
-        TSHARK_PATH,
-        '-r', pcap_file,
-        '-T', 'fields',
-        '-E', 'header=y',
-        '-E', 'separator=,',
-        '-E', 'quote=d',
-        '-E', 'occurrence=a',
-        '-2',
-        '-R', 'not tcp.analysis.retransmission'
-    ]
-
+    command = [TSHARK_PATH, '-r', pcap_file, '-T', 'fields', '-E', 'header=y', '-E', 'separator=,', '-E', 'quote=d', '-E', 'occurrence=a', '-2', '-R', 'not tcp.analysis.retransmission']
+    fields = ['frame.time_epoch', 'eth.src', 'eth.dst', 'ip.src', 'ip.dst', 'tcp.srcport', 'tcp.dstport', 'udp.srcport', 'udp.dstport', '_ws.col.Protocol', 'frame.len', 'dns.qry.name', 'dns.a', 'tls.handshake.extensions_server_name']
     for field in fields:
         command += ['-e', field]
-
-    # Run the tshark command and capture the output
     process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
     output, error = process.communicate()
-
     if process.returncode != 0:
         print(f"Error running tshark on pcap file: {pcap_file}")
         print(error.decode())
         return None
-
+    
     # Decode the output and read it into a Pandas DataFrame
     output = output.decode()
     data = StringIO(output)
     df = pd.read_csv(data, low_memory=False)
+    update_ip_hostname_mappings(df, ip_shelve)
+    return df
 
-    # Make sure the ports are integers
-    port_columns = ['tcp.srcport', 'tcp.dstport', 'udp.srcport', 'udp.dstport']
-    for column in port_columns:
-        if column in df:
-            df[column] = df[column].fillna(0).astype(int)
+def update_ip_hostname_mappings(df, ip_shelve):
+    dns_df = df[df['dns.qry.name'].notna() & df['dns.a'].notna()]
+    for _, row in dns_df.iterrows():
+        ips = row['dns.a'].split(',')
+        for ip in ips:
+            ip_shelve[ip] = row['dns.qry.name']
 
-    return df
+    sni_df = df[df['tls.handshake.extensions_server_name'].notna()]
+    for _, row in sni_df.iterrows():
+        ip_shelve[row['ip.dst']] = row['tls.handshake.extensions_server_name']
 
+    df['src_hostname'] = df['ip.src'].map(lambda x: ip_shelve.get(x, reverse_dns(x) if x else 'No IP'))
+    df['dst_hostname'] = df['ip.dst'].map(lambda x: ip_shelve.get(x, reverse_dns(x) if x else 'No IP'))
+    df.drop(['dns.qry.name', 'dns.a', 'tls.handshake.extensions_server_name'], axis=1, inplace=True)
+
+def reverse_dns(ip_address):
+    """
+    Attempts to resolve an IP address to a hostname using a reverse DNS lookup; 
+    This function is used as a fallback mechanism in the event that an IP address does not have a corresponding hostname entry in the shelve database.
+    """
+    if not ip_address:
+        return ''
+    try:
+        hostname = socket.gethostbyaddr(ip_address)[0]
+        return hostname
+    except (socket.herror, socket.gaierror):
+        return ''
 
 if __name__ == "__main__":
-    main()
+    main()