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- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
46 lines
1.1 KiB
Markdown
46 lines
1.1 KiB
Markdown
---
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name: entropy_shannon
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kind: function
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lang: py
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domain: cybersecurity
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version: "1.0.0"
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purity: pure
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signature: "def entropy_shannon(data: bytes) -> float"
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description: "Calcula la entropia de Shannon de datos binarios (0-8 bits por byte). Util para detectar datos cifrados o comprimidos."
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tags: [entropy, shannon, analysis, crypto, python, pendiente-usar]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: [math, collections]
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params:
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- name: data
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desc: "bytes cuya entropia de Shannon se desea calcular"
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output: "valor float de entropia entre 0 y 8 bits por byte"
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tested: false
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tests: []
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test_file_path: ""
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file_path: "python/functions/cybersecurity/cybersecurity.py"
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---
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## Ejemplo
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```python
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# Datos aleatorios (alta entropia)
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entropy_shannon(bytes(range(256)))
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# ~8.0
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# Datos repetitivos (baja entropia)
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entropy_shannon(b"aaaaaaaaaa")
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# 0.0
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# Texto normal
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entropy_shannon(b"hello world")
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# ~2.84
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```
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## Notas
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Entropia alta (>7.5) sugiere datos cifrados o comprimidos. Entropia baja (<3) sugiere datos estructurados o repetitivos. Retorna 0.0 para datos vacios.
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