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  • Process
  • Deriving Public Keys from Existing Tokens

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  1. TL;DR
  2. API
  3. Tests
  4. Authentication
  5. JWTs

Algorithm Confusion

PreviousHeader InjectionNextExcessive Data Exposure

Last updated 10 months ago

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JWT algorithm confusion is a vulnerability where an attacker manipulates the alg header parameter to trick the server into using an unintended or insecure algorithm for validating the JWT.

The below content & examples are based on PortSwigger's module.

Symmetric algorithms use the same key to both sign and verify the token, whereas asymmetric algorithms use a key pair, i.e., a private key to sign the token and a public key to verify it.

Process

  1. Obtain the server's public key.

    • This might be done through conventional endpoints such as /jwks.json or /well-known/jwks.json.

  2. Convert it to a suitable format.

    • The exposed keys (JWK format) must be identical with the server's keys.

  3. Create a malicious JWT with a modified payload and the alg set to HS256.

  4. Sign the token with HS256 using the public key as the secret.

Deriving Public Keys from Existing Tokens

# Simplified version of the above tool
docker run --rm -it portswigger/sig2n <token1> <token2>

The above command is using the provided token to calculate one or more potential n values. For each potential value, the script outputs:

  1. A base64-encoded PEM key in both X.509 and PKCS1 format.

  2. A forged JWT signed using each of these keys.

To identify the correct key we need to try both and see which is accepted by the server.

If no exposed public keys are available, we can derive one from a pair of existing JWTs using .

jwt_forgery.py
JWT attacks
Figure 1: Obtaining the server's public key & creating a new one.
Figure 2: Tampering the JWT's key.
Figure 3: Obtaining 2 different JWTs.
Figure 4: Generating the PEM-signed JWTs.
Figure 5: Finding the working JWT.
Figure 6: Tampering the JWT.