HIGH regex dosjwt tokens

Regex Dos with Jwt Tokens

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JWT Token-Specific Remediation

Remediating ReDoS vulnerabilities in JWT processing requires both regex refactoring and architectural changes. The most effective approach combines safe validation patterns with defensive programming.

Replace vulnerable regex patterns with safe alternatives:

Related CWEs: inputValidation

CWE IDNameSeverity
CWE-20Improper Input Validation HIGH
CWE-22Path Traversal HIGH
CWE-74Injection CRITICAL
CWE-77Command Injection CRITICAL
CWE-78OS Command Injection CRITICAL
CWE-79Cross-site Scripting (XSS) HIGH
CWE-89SQL Injection CRITICAL
CWE-90LDAP Injection HIGH
CWE-91XML Injection HIGH
CWE-94Code Injection CRITICAL
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Frequently Asked Questions

How can I test if my JWT validation is vulnerable to ReDoS?
Create test tokens with crafted exp, aud, and alg claims that contain long sequences of similar characters. Measure validation time - if processing takes more than 100ms for a single token, you likely have a ReDoS vulnerability. Use tools like middleBrick to automate this testing with known attack patterns.
Are some JWT libraries more vulnerable to ReDoS than others?
Yes. Libraries that use regex for claim validation are more vulnerable than those using explicit parsing. Node.js's jsonwebtoken and Python's PyJWT are generally safe when used correctly, but custom validation code or wrapper libraries may introduce vulnerabilities. Always audit third-party JWT libraries for regex usage in validation paths.

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