# Inefficient Regular Expression Complexity (CWE-1333) The product uses a regular expression with an inefficient, possibly exponential worst-case computational complexity that consumes excessive CPU cycles. **Stack:** Python - Prevalence: Media 3 lenguajes cubiertos - Impact: Alto 1 reglas de severidad alta - Prevention: Documentada 3 ejemplos de corrección **OWASP:** Injection (A03:2021-Injection) - #3 ## Description Certain regular expression patterns can take exponential time to evaluate on certain inputs (ReDoS). Attackers can craft inputs that cause the regex engine to consume excessive CPU time, leading to denial of service. ## Prevention Estrategias de prevención para ReDoS basadas en 1 reglas de detección de Shoulder. ### Key Practices - Use exponential time complexity when matching certain inputs ### Python Replace nested quantifiers with simple patterns and bounded repetition ## Warning Signs - [MEDIUM] regular expressions with catastrophic backtracking patterns that can cause exponential time complexi ## Consequences - DoS ## Mitigations - Evita los cuantificadores anidados y las alternancias superpuestas en las regex - Usa mecanismos de timeout en las regex - Considera usar motores de regex sin retroceso (non-backtracking) ## Detection - Total rules: 3 - Languages: go, javascript, typescript, python ## Rules by Language ### Python (1 rules) - **Regular Expression Denial of Service (ReDoS)** [MEDIUM]: Detects regular expressions with catastrophic backtracking patterns that can cause exponential time complexity when matching certain inputs. Attackers can exploit this to cause denial of service. Use simpler patterns or set timeouts. - Remediation: Avoid nested quantifiers like (a+)+. Use simple patterns with bounded quantifiers. ```python import re # Safe: simple character class with bounded quantifiers pattern = re.compile(r'^[a-zA-Z0-9_]{3,20}$') if not pattern.match(username): raise ValueError('Invalid username') ``` Learn more: https://shoulder.dev/learn/python/cwe-1333/redos