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análisis-de-paquetes-de-red-con-scapy

Usa Scapy para crear, enviar, esnifar y diseccionar paquetes TCP/UDP/ICMP/DNS, analizar archivos pcap, implementar escaneos SYN y detectar tráfico anómalo como paquetes fragmentados o malformados. Úsalo al realizar reconocimiento de red autorizado, análisis forense a nivel de protocolo o construir detección de anomalías de tráfico durante pruebas de seguridad.

¿Qué es análisis-de-paquetes-de-red-con-scapy?

Esta habilidad se centra en el uso de la biblioteca Scapy de Python para el análisis y manipulación de paquetes de red en tareas de seguridad. Permite a los agentes de IA (como Claude Code, Cursor o Codex) inspeccionar tráfico de red, analizar archivos pcap/pcapng y detectar patrones anómalos como inundaciones SYN, exfiltración por DNS o paquetes fragmentados. Es útil para ingenieros de seguridad, analistas de SOC y desarrolladores que necesitan realizar análisis forense de protocolos, validar cobertura de monitoreo o construir reglas de detección. La habilidad detalla los pasos para leer archivos pcap, extraer capas de protocolo, calcular estadísticas de tráfico y exportar hallazgos en formato JSON estructurado. Soporta plataformas Linux y Windows, requiriendo privilegios de administrador para operaciones de sockets raw. Funciona con Python 3.8+ y la biblioteca Scapy instalada, siendo ideal para tareas automatizadas de respuesta a incidentes y pruebas de seguridad autorizadas.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-network-packets-with-scapy
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Documentación

Análisis de Paquetes de Red con Scapy

Resumen

Scapy es una biblioteca de manipulación de paquetes de red en Python que permite crear, enviar, esnifar y diseccionar paquetes de red a nivel granular de capas de protocolo. Esta habilidad cubre el uso de Scapy para tareas relacionadas con seguridad, incluyendo la creación de paquetes TCP/UDP/ICMP, análisis de archivos pcap, extracción de campos de protocolo, implementación de escaneos SYN, análisis de consultas DNS y detección de patrones de tráfico anómalos como paquetes inusualmente fragmentados o cabeceras malformadas.

Cuándo Usar

  • Cuando se investigan incidentes de seguridad que requieren analizar paquetes de red con scapy
  • Cuando se construyen reglas de detección o consultas de caza de amenazas para este dominio
  • Cuando los analistas de SOC necesitan procedimientos estructurados para este tipo de análisis
  • Cuando se valida la cobertura de monitoreo de seguridad para técnicas de ataque relacionadas

Prerrequisitos

  • Python 3.8+ con la biblioteca scapy instalada (pip install scapy)
  • Privilegios de root/administrador para operaciones de sockets raw (esnifar, enviar)
  • Npcap (Windows) o libpcap (Linux) para la captura de paquetes
  • Autorización para realizar operaciones con paquetes en la red objetivo

Pasos

  1. Leer y analizar archivos pcap/pcapng con rdpcap() para análisis fuera de línea
  2. Extraer capas de protocolo (IP, TCP, UDP, DNS, HTTP) y valores de campo
  3. Calcular estadísticas de tráfico: principales interlocutores, distribución de protocolos, frecuencia de puertos
  4. Detectar patrones de inundación SYN analizando las proporciones de flags TCP
  5. Identificar indicadores de exfiltración por DNS mediante análisis de longitud de consulta y entropía
  6. Crear paquetes de prueba personalizados para pruebas de red autorizadas
  7. Exportar hallazgos como informe JSON estructurado

Salida Esperada

Informe JSON que contiene estadísticas de paquetes, distribución de protocolos, principales IPs fuente/destino, anomalías detectadas (inundaciones SYN, indicadores de tunelización DNS, ataques de fragmentación) y resúmenes por flujo.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

abusing-dpapi-for-credential-access

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket

abusing-shadow-credentials-for-privesc

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target

achieving-cmmc-level-2-compliance

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acquiring-disk-image-with-dd-and-dcfldd

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

analyzing-active-directory-acl-abuse

Detect dangerous ACL misconfigurations in Active Directory using ldap3

analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

analyzing-api-gateway-access-logs

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

analyzing-apt-group-with-mitre-navigator

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups

analyzing-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware infecting the Master

analyzing-browser-forensics-with-hindsight

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to

analyzing-cloud-storage-access-patterns

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

analyzing-command-and-control-communication

Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

analyzing-dns-logs-for-exfiltration

Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

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