Security vulnerabilities often stem from implementation errors rather than zero-day exploits. One of the most prevalent vectors for these configuration errors is the JSON Web Token (JWT).
The JWT has become the de facto standard for stateless authentication. It carries identity data, permissions, and expiration details within a compact, URL-safe string.
However, as I discovered during my recent Lab during the CyberSafe API Security Training, default configurations and poor architectural choices can leave these tokens critically vulnerable.
In this lab, I analyzed a compromised token, identified its logic flaws and cryptographic misconfigurations, and then re-architected it using Burp Suite to meet production security standards.
If you want to understand why modern authentication breaks and how to engineer it correctly, this guide covers the technical details you need.
Before analyzing the token structure, we must distinguish between the two core security functions it handles.
Authentication answers the specific question: "Who is this user?" It validates credentials to establish a digital identity. In a typical HTTP flow, a failure at this stage results in a 401 Unauthorized status code.
Authorization answers the question: "What is this user allowed to do?" It validates access rights to specific resources based on the established identity. A failure at this stage results in a 403 Forbidden status code.
A JWT handles both functions simultaneously. The signature proves Authentication (validating the issuer), while the payload claims handle Authorization (defining the permissions).
In traditional web development, applications relied on Sessions. When a user logged in, the server created a record in its memory or database (a session ID) and sent it to the browser as a cookie. For every subsequent request, the browser sent the cookie, and the server looked up the ID in its database to retrieve the user's context.
If an application runs on multiple servers, they must all share access to the same session database. This introduces latency and a single point of failure.
A token is a self-contained credential. Instead of the server storing the user's session data, the data is packaged, cryptographically signed, and issued to the client.
The client presents this token with every request, usually in the Authorization header. The server verifies the token's signature to validate the request without needing to query a central session database. This allows any server in a distributed microservices architecture to verify a user independently.
JSON Web Token (RFC 7519) is the open industry standard for these stateless credentials. It serves as a mechanism for representing claims to be transferred between two parties.
A JWT is constructed from three distinct parts, separated by periods (.).
The header contains metadata about the token. It informs the resource server how to process the token. It is a JSON object encoded in Base64Url.
The payload contains the Claims. These are statements about an entity (typically the user) and additional metadata. Like the header, it is a JSON object encoded in Base64Url.
Encoding is not encryption. Base64Url encoding is reversible by anyone. Therefore, the payload is transparent. Sensitive data such as passwords, personal health information, or government IDs should never be stored in a JWT payload.
The signature is the security mechanism that ensures data integrity. To create the signature, the server takes the encoded Header and the encoded Payload, concatenates them, and signs them using the algorithm specified in the Header.
For an HMAC algorithm (like HS256), the formula is:
And for an RSA algorithm (like RS256), the formula changes because it uses Asymmetric Encryption. Instead of a shared secret, it uses a Private Key to generate the signature.
If a client modifies the payload (for example, changing a user ID), the signature verification will fail because the hash of the manipulated data will not match the original signature.
During the lab exercise, I was tasked with analyzing a specific JWT provided by our trainer. While it appeared valid structurally, static analysis tools revealed critical configuration flaws that rendered it insecure.
To perform this analysis, I used the following:
Here is the raw token I analyzed:
eyJhbGciOiJub25lIiwidHlwIjoiSldUIn0.eyJ1c2VyIjoiYWRtaW4iLCJleHAiOjE2MDAwMDAwMDAsInJvbGUiOiJhZG1pbiIsInZhbGlkIjpmYWxzZX0.
Upon decoding this token, I identified five critical vulnerabilities.
The header configuration was explicitly set as follows:
{
"alg": "none",
"typ": "JWT"
}
The "none" algorithm is a feature originally intended for debugging or situations where integrity is provided by the transport layer (like mutual TLS). However, in a standard JWT, it is catastrophic. It tells the server that the token is unsigned and requires no verification.
Due to the use of the none algorithm, the token lacked a signature segment.
The payload included a functional logic claim: "valid": false
This indicates that the application relies on data provided by the client to determine if a session is valid.
The exp (expiration) timestamp was 1600000000, which translates to September 2020.
The payload explicitly defined the user's role: "role": "admin"
{
"user": "admin",
"exp": 1600000000,
"role": "admin",
"valid": false
}
Identifying vulnerabilities is only the initial step. True security requires re-architecting the system to adhere to best practices.
Here is the remediation strategy I implemented using the JWT Editor in Burp Suite to secure the token.
I replaced the none algorithm with RS256 (RSA Signature with SHA-256).
I updated the expiration timestamp (exp) to a future value, specifically one hour from the current time, for testing purposes. Ideally, JWTs should expire after 10 minutes.
I removed the insecure "valid": false claim.
I added iss (Issuer) and aud (Audience) claims.
The remediated payload follows this structure:
{
"user": "admin",
"role": "admin",
"iss": "https://cybersafe-api-sec.com",
"aud": "https://secure-app.com",
"exp": 1764523600,
"iat": 1764520000
}
This token is now cryptographically signed, time-limited, context-aware, and tamper-resistant.
These vulnerabilities are not theoretical exercises. Weak JWT implementations have led to significant security breaches in major production environments.
In late 2025, a critical vulnerability was identified in File Browser version 2.39.0.
KubePi, a Kubernetes management panel, was found to have an Admin Authentication Bypass vulnerability caused by hardcoded secrets.
A severe security flaw was discovered in Java's implementation of the Elliptic Curve Digital Signature Algorithm (ECDSA), affecting Java SE versions 15 through 18.
A token is only as secure as its implementation.
Using standard technology like JWT does not guarantee security. As this analysis demonstrated, a JWT is simply a data structure. If implemented without signature verification, without proper expiration enforcement, or with weak signing keys, it offers no protection against unauthorized access.
Key Takeaways for Developers and Security Testers:
Security is a continuous process of verification and validation. By dissecting these tokens, we ensure that the credentials we build are robust enough to protect the systems they govern.