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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>
1.1 KiB
1.1 KiB
name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path
| name | kind | lang | domain | version | purity | signature | description | tags | uses_functions | uses_types | returns | returns_optional | error_type | imports | params | output | tested | tests | test_file_path | file_path | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| entropy_shannon | function | py | cybersecurity | 1.0.0 | pure | def entropy_shannon(data: bytes) -> float | Calcula la entropia de Shannon de datos binarios (0-8 bits por byte). Util para detectar datos cifrados o comprimidos. |
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false |
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valor float de entropia entre 0 y 8 bits por byte | false | python/functions/cybersecurity/cybersecurity.py |
Ejemplo
# Datos aleatorios (alta entropia)
entropy_shannon(bytes(range(256)))
# ~8.0
# Datos repetitivos (baja entropia)
entropy_shannon(b"aaaaaaaaaa")
# 0.0
# Texto normal
entropy_shannon(b"hello world")
# ~2.84
Notas
Entropia alta (>7.5) sugiere datos cifrados o comprimidos. Entropia baja (<3) sugiere datos estructurados o repetitivos. Retorna 0.0 para datos vacios.