Mapping Open Source web application installations

Mapping open-source web application installations involves identifying and documenting the presence of specific web applications on a network or set of domains. This can be useful for various purposes, including security assessments, inventory management, and compliance checks. Below is a high-level overview of the process and considerations for mapping open-source web application installations:

1. Discovery:

   • Network Scanning: Use network scanning tools (such as Nmap) to identify live hosts on the network.
   • Domain Enumeration: Enumerate domain names associated with the organization using tools like DNS enumeration or public information sources.

2. Web Application Fingerprinting:

   • Automated Tools: Utilize web application fingerprinting tools to identify the web technologies and versions running on discovered hosts. Tools like Wappalyzer or WhatWeb can provide insights into the technologies used by web applications.
   • Passive Reconnaissance: Analyze HTTP response headers, error pages, and other observable characteristics to identify web server types, frameworks, or specific applications.

3. Web Application Scanning:

   • Automated Scanners: Employ web application scanners (such as OWASP ZAP, Burp Suite, or Nikto) to perform comprehensive scans for vulnerabilities and to identify specific applications.
   • Crawling and Analysis: Use tools that can crawl websites and analyze the content to identify specific web applications. This may involve analyzing JavaScript files, HTML, and other resources.

4. Public Information Sources:

   • Public Code Repositories: Search public code repositories (e.g., GitHub, GitLab) for open-source web application installations associated with the organization.
   • Public Search Engines: Use search engines to find publicly accessible instances of web applications or to identify public-facing domains.

5. Reviewing DNS Records:

   • Subdomain Enumeration: Enumerate subdomains associated with the organization to identify potential web applications. Tools like Sublist3r or Amass can assist in subdomain enumeration.
   • TXT Records: Review DNS TXT records for indications of web application technologies or configurations.

6. Authentication Banners:

   • Login Pages: Check for login pages or authentication banners that may reveal the presence of specific web applications.

7. Custom Scripts and Automation:

   • Custom Scripts: Develop custom scripts or automation tailored to the organization’s environment to identify specific web applications based on known patterns, URLs, or response headers.
   • APIs and Integrations: Integrate with APIs provided by web application databases or services that catalog known installations of open-source applications.

8. Documentation and Inventory:

   • Maintain Records: Document the identified web applications, their versions, and relevant details in an inventory or documentation system.
   • Update and Review: Regularly update and review the inventory to reflect changes in the web application landscape.

Remember, ethical considerations and legal compliance are crucial when conducting any form of reconnaissance or scanning. Always ensure you have the appropriate authorization and permissions before scanning or interacting with systems. Additionally, respect the privacy and security of the systems you are investigating.

A simple web path scanner that uses multiple threads to test the existence of files on a web server. The scanner iterates through the local files in a specified directory, creates remote paths by appending them to a target URL, and then sends HTTP requests to those remote paths to check if the files exist on the web server. The script is designed to be multithreaded, allowing for parallel processing of multiple web paths.

Explanation:

1. Import Modules:

   import os
   import queue
   import threading
   import urllib.error
   import urllib.parse
   import urllib.request
   

   • os: Provides a way of using operating system-dependent functionality.
   • queue: Implements queues for thread-safe communication.
   • threading: Provides threading support for concurrent execution.
   • urllib: Handles URL-related operations.

2. Configuration:

   threads = 10
   target = "http://www.test.com"
   directory = "/Users/justin/Downloads/joomla-3.1.1"
   filters = [".jpg", ".gif", "png", ".css"]
   

   • threads: Number of threads to spawn for parallel processing.
   • target: Target URL where the files will be checked for existence.
   • directory: Local directory containing files to be tested on the web server.
   • filters: List of file extensions to exclude from testing.

3. Change Directory:

   os.chdir(directory)
   

   • Changes the current working directory to the specified directory.

4. Queue Up Web Paths:

   web_paths = queue.Queue()
   
   for r, d, f in os.walk("."):
       for files in f:
           remote_path = "%s/%s" % (r, files)
           if remote_path.startswith("."):
               remote_path = remote_path[1:]
           if os.path.splitext(files)[1] not in filters:
               web_paths.put(remote_path)
   

   • Iterates through the local files in the specified directory and adds them to a queue (web_paths) for processing.

5. Test Remote Function:

   def test_remote():
       while not web_paths.empty():
           path = web_paths.get()
           url = "%s%s" % (target, path)
           request = urllib.request.Request(url)
           try:
               response = urllib.request.urlopen(request)
               print("[%d] => %s" % (response.code, path))
               response.close()
           except urllib.error.HTTPError as error:
               print("Failed %s" % error.code)
               pass
   

   • Defines the function test_remote, which is the target function for each thread.
   • Retrieves a web path from the queue, constructs a URL, and sends an HTTP request.
   • Prints the HTTP response code and the path.

6. Spawn Threads:

   for i in range(threads):
       print("Spawning thread: %d" % i)
       t = threading.Thread(target=test_remote)
       t.start()
   

   • Spawns the specified number of threads, each executing the test_remote function.

This code creates a pool of threads that work concurrently to test the existence of files on the web server. Each thread takes a path from the queue, constructs a URL, sends an HTTP request, and prints the result. The purpose of this script is to identify files present on the web server based on the provided directory, target URL, and file filters.