CVE-2026-44720 — Authentication Bypass via Disabled JWT Signature Verification in OpenLearnX
Moderate-severity JWT authentication bypass in OpenLearnX where insufficient signature verification could allow attackers to supply forged tokens and bypass identity validation.
Overview
CVE-2026-44720 is a moderate-severity authentication vulnerability affecting OpenLearnX. Under certain authentication flows, insufficient JWT signature verification could allow attackers to supply forged authentication tokens and bypass normal identity validation.
The issue originated from improper enforcement of cryptographic verification during token processing, creating a scenario where attacker-controlled JWTs could be accepted as valid.

Technical Description
OpenLearnX uses JSON Web Tokens (JWTs) to maintain authenticated user sessions. In affected versions, certain authentication paths did not consistently enforce signature verification before processing token contents. As a result, specially crafted tokens could potentially be accepted without validating their authenticity.
Proper JWT implementations must always verify:
- Token signature integrity
- Supported signing algorithms
- Token expiration
- Issuer and audience claims
Failure to enforce these checks may allow attackers to manipulate authentication state.
Potential Impact
Successful exploitation could potentially allow:
- Authentication bypass
- Unauthorized account access
- Account takeover under affected configurations
- Forged session tokens
- Unauthorized access to protected application functionality
The practical impact depends on the application’s deployment and authentication configuration.
Affected and Fixed Versions
| Affected | < 2.0.3 |
| Fixed | >= 2.0.3 |
Remediation
The vulnerability was fully addressed in OpenLearnX v2.0.3 through:
- JWT Validation Hardening: Token verification workflow updated to ensure cryptographic signature validation is always performed before any token claims are processed.
- Authentication Flow Review: All authentication paths audited to ensure consistent security behavior.
- Cryptographic Control Improvements: Additional safeguards around JWT processing to strengthen trust validation.
- Defense-in-Depth: Strengthened session validation logic, improved authentication boundary enforcement, enhanced validation of token metadata and claims.
- Post-remediation codebase security audit and verification.
References
- GitHub Advisory: https://github.com/advisories/GHSA-223g-f5mq-gw33
- OpenLearnX Repository: https://github.com/th30d4y/OpenLearnX
Finder: krrazee · Remediation Developer: 0x5t4l1n — Research. Remediate. Reinforce.