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Confluence Public Page Auditor

This project provides a two-script utility for finding and verifying publicly accessible pages on a Confluence Server or Data Center instance.

1. Public Page Finder

This Python script scans the Confluence /rest/api/content endpoint anonymously. It finds all publicly visible pages and writes their titles and URLs to a public_pages.csv file. The script handles API pagination and builds full, clickable URLs for the output file.

2. Confluence Page Verifier

This script complements the first by automating the audit process. It reads the generated public_pages.csv file, takes a random 10% sample of the URLs, and attempts to access them anonymously to confirm they are still public.

To run quickly without being blocked, the script uses:

• Concurrency: A ThreadPoolExecutor to make many HTTP requests in parallel.
• Rate Limiting: A Semaphore to limit simultaneous requests (e.g., 5 at a time) and avoid being blocked.

The script reports a final summary of which sampled links passed (returned a 200 OK status) and which failed (e.g., 403 Forbidden, 404 Not Found, or a connection error).

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How to Use

Step 1: Find Public Pages

1. Open the first script (e.g., find_public_pages.py).
2. Update the CONFLUENCE_BASE_URL variable at the top with your site's URL.
3. Run the script from your terminal: python find_public_pages.py
4. Wait for it to complete. A public_pages.csv file will be created in the same directory.

Step 2: Verify the Results

1. Open the second script (e.g., verify_pages.py).
2. You can adjust the SAMPLE_PERCENT or MAX_CONCURRENT_REQUESTS at the top if needed.
3. Run the script: python verify_pages.py
4. The script will test a sample of the links from the CSV and print a summary report to your terminal, highlighting any failures.