JWToken-analyzer is a browser-based JWT security toolkit for Windows.
Use it to:
- Decode JWTs in plain text
- Check token headers and claims
- Test weak secrets with a built-in brute-force mode
- Forge tampered tokens for test use
- Simulate common JWT attack paths
- Generate Python and PyJWT fix code
It is built for quick checks on token security without a steep setup.
Use a Windows PC with:
- Windows 10 or Windows 11
- A modern web browser such as Chrome, Edge, or Firefox
- At least 4 GB RAM
- 200 MB of free disk space
- Internet access for the first setup and download
For best results, keep your browser up to date.
Open the project page here and download or run the file from that page:
If the page opens in your browser, look for the latest release or the main download option. Save the file to your PC, then open it from your Downloads folder or from the folder where you saved it.
Follow these steps on Windows:
- Open the download page in your browser.
- Get the latest version from the page.
- Save the file to a folder you can find, such as Downloads or Desktop.
- If the file is in a ZIP folder, right-click it and choose Extract All.
- Open the extracted folder.
- Double-click the main app file or launch file.
- Wait for the browser window or local web page to open.
- If Windows asks for permission, choose the option that lets the app run.
If the tool opens in a browser tab, keep that tab open while you work.
Paste a token into the input box.
The tool splits the token into parts and shows:
- Header
- Payload
- Signature data
This helps you see what the token contains before you test it.
Use the audit view to look for weak points such as:
- Missing signature checks
- Weak algorithms
- Odd claim values
- Tokens that look changed
- Common JWT mistakes
This gives you a fast first pass on token health.
If you want to check whether a token uses a weak secret, use the brute-force feature.
The tool can try common passwords and short secret strings.
Use this only on tokens you own or have permission to test.
You can change token data and see how the output changes.
This helps with:
- Testing claim changes
- Checking if the app accepts tampered tokens
- Comparing safe and unsafe token behavior
The toolkit can model real JWT attack cases such as:
- Algorithm confusion
- Signature bypass checks
- Weak key use
- Tampered claim sets
This helps you see where a token setup may fail.
When you find a problem, the tool can create Python and PyJWT fix code.
Use the generated code to:
- Enforce safe algorithms
- Validate claims
- Reject bad tokens
- Set stronger signing rules
Use JWToken-analyzer if you want to:
- Review a token before deployment
- Test your own appβs JWT setup
- Check if a secret is too weak
- Confirm that token validation works
- Make a quick report for a security review
- Build safer PyJWT code
It fits basic security checks and deeper token review work.
A simple workflow looks like this:
- Copy a JWT from your app or test case.
- Paste it into the tool.
- Decode it and check the header and payload.
- Run the audit check.
- Test the secret if you need to.
- Review the findings.
- Use the fix code generator to patch the issue.
This keeps the process short and easy to follow.
When you run a check, the tool may show:
- Token header details
- Payload claims
- Signature status
- Weak secret results
- Attack simulation results
- Fix code for Python and PyJWT
You can use these results in your notes, report, or code changes.
- Test one token at a time
- Use a token you can trust for safe checks
- Keep a copy of the original token
- Compare before and after changes
- Review the code that the tool generates
- Use strong secrets for any app you manage
If a token comes from a live system, save a copy before you test it.
- Check that the download finished
- Extract the ZIP file if needed
- Try opening the main file again
- Right-click the file and choose Run as administrator
- Refresh the page
- Try another browser
- Clear the browser cache
- Make sure local scripts are allowed
- Check that the token has three parts
- Remove extra spaces
- Paste the full token
- Make sure the token is not cut off
- Use a smaller word list
- Close other apps
- Try a token with a shorter secret test set
- Run the tool on a faster PC if possible
A typical setup may include:
- Main launch file
- Web app files
- Token test modules
- Fix code templates
- Sample JWT data
- Local config files
Keep the folder together if the app uses local files.
This tool is made for:
- End users who want to inspect JWTs
- Developers who need quick token checks
- Security testers who review token handling
- Students who want to learn JWT behavior
- Teams that need simple JWT audit steps
You do not need deep programming knowledge to start.
Here are a few checks you can run:
- Paste a JWT and decode it
- Look for
algvalues that should not be allowed - Test a token that uses a weak secret
- Try a tampered payload and compare the result
- Generate safe PyJWT code for a fix
These checks help you spot risky token use early.
JWToken-analyzer covers:
- JWT decoding
- Token auditing
- Brute-force testing
- Cryptography checks
- Security review
- Penetration testing support
- PyJWT fix code generation
- Algorithm confusion testing
If you need the download page again, use this link: