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fn_registry/python/functions/cybersecurity/levenshtein_distance.md
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egutierrez 95959f713c feat: funciones Python para core, cybersecurity, datascience y finance
Agrega funciones Python reutilizables organizadas por dominio:
- core: composicion funcional (pipe, compose, map, filter, reduce, etc.)
- cybersecurity: analisis de amenazas y puertos
- datascience: estadisticas y deteccion de outliers
- finance: indicadores tecnicos y analisis financiero
2026-03-29 00:13:50 +01:00

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---
name: levenshtein_distance
kind: function
lang: py
domain: cybersecurity
version: "1.0.0"
purity: pure
signature: "def levenshtein_distance(a: str, b: str) -> int"
description: "Calcula la distancia de Levenshtein (edit distance) entre dos strings. Util para deteccion de typosquatting en dominios."
tags: [levenshtein, distance, fuzzy, typosquatting, python]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: ""
imports: []
tested: false
tests: []
test_file_path: ""
file_path: "python/functions/cybersecurity/cybersecurity.py"
---
## Ejemplo
```python
levenshtein_distance("google.com", "gooogle.com")
# 1
levenshtein_distance("paypal.com", "paypa1.com")
# 1
levenshtein_distance("abc", "abc")
# 0
```
## Notas
Implementacion O(n*m) con optimizacion de espacio (dos filas). Sin dependencias externas. Util para detectar dominios de typosquatting comparando contra dominios legitimos conocidos.