Running multiple traceroutes at the same time

Running multiple traceroutes at the same time can be accomplished using various scripting or programming languages. One common approach is to use Python's subprocess module to execute multiple traceroute commands concurrently. Here's an example using Python:

pythonCopy code
import subprocess

from concurrent.futures import ThreadPoolExecutor



# List of target hosts or IP addresses

targets = ["example.com", "google.com", "yahoo.com"]



def run_traceroute(target):

    try:

        # Execute traceroute command for the target

        result = subprocess.run(["traceroute", target], capture_output=True, text=True, timeout=60)

        print(f"Traceroute for {target}:\n{result.stdout}")

    except subprocess.TimeoutExpired:

        print(f"Traceroute for {target} timed out.")



# Number of concurrent traceroutes

concurrent_traceroutes = 3



# Use a ThreadPoolExecutor to run traceroutes concurrently

with ThreadPoolExecutor(max_workers=concurrent_traceroutes) as executor:

    executor.map(run_traceroute, targets)

In this example:

1. Modify the targets list to include the target hosts or IP addresses for which you want to run traceroutes.
2. Adjust the concurrent_traceroutes value to control the number of concurrent traceroutes you want to run.
3. The run_traceroute function uses the subprocess.run function to execute the traceroute command for each target. The results are printed to the console.

Keep in mind that running multiple traceroutes concurrently can put a significant load on your network and might be subject to rate limiting or security policies in certain environments. Adjust the number of concurrent traceroutes based on your network's capacity and limitations.

Please note that the above example uses Python 3.5 or later and the concurrent.futures module, which provides a high-level interface for asynchronously executing functions using threads or processes.