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analyzing-network-packets-with-scapy

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Mis à jour14 juin 2026 à 18:37

Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing

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26zl

26zl/cybersec-toolkit

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Analystes en sécurité de l'informationProfessions informatiques et mathématiques·SOC 15-1212

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4 fichiers

SKILL.md

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name	analyzing-network-packets-with-scapy
description	Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing
domain	cybersecurity
subdomain	network-security
tags	["scapy","packet-analysis","network-forensics","protocol-dissection","pcap","traffic-analysis"]
version	1.0
author	mahipal
license	Apache-2.0
nist_csf	["PR.IR-01","DE.CM-01","ID.AM-03","PR.DS-02"]

Analyzing Network Packets with Scapy

Overview

Scapy is a Python packet manipulation library that enables crafting, sending, sniffing, and dissecting network packets at granular protocol layers. This skill covers using Scapy for security-relevant tasks including TCP/UDP/ICMP packet crafting, pcap file analysis, protocol field extraction, SYN scan implementation, DNS query analysis, and detecting anomalous traffic patterns such as unusually fragmented packets or malformed headers.

When to Use

When investigating security incidents that require analyzing network packets with scapy
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Python 3.8+ with scapy library installed (pip install scapy)
Root/administrator privileges for raw socket operations (sniffing, sending)
Npcap (Windows) or libpcap (Linux) for packet capture
Authorization to perform packet operations on target network

Steps

Read and parse pcap/pcapng files with rdpcap() for offline analysis
Extract protocol layers (IP, TCP, UDP, DNS, HTTP) and field values
Compute traffic statistics: top talkers, protocol distribution, port frequency
Detect SYN flood patterns by analyzing TCP flag ratios
Identify DNS exfiltration indicators via query length and entropy analysis
Craft custom probe packets for authorized network testing
Export findings as structured JSON report

Expected Output

JSON report containing packet statistics, protocol distribution, top source/destination IPs, detected anomalies (SYN floods, DNS tunneling indicators, fragmentation attacks), and per-flow summaries.

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name	analyzing-network-packets-with-scapy
description	Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing
domain	cybersecurity
subdomain	network-security
tags	["scapy","packet-analysis","network-forensics","protocol-dissection","pcap","traffic-analysis"]
version	1.0
author	mahipal
license	Apache-2.0
nist_csf	["PR.IR-01","DE.CM-01","ID.AM-03","PR.DS-02"]

Analyzing Network Packets with Scapy

Overview

When to Use

When investigating security incidents that require analyzing network packets with scapy
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Python 3.8+ with scapy library installed (pip install scapy)
Root/administrator privileges for raw socket operations (sniffing, sending)
Npcap (Windows) or libpcap (Linux) for packet capture
Authorization to perform packet operations on target network

Steps

Read and parse pcap/pcapng files with rdpcap() for offline analysis
Extract protocol layers (IP, TCP, UDP, DNS, HTTP) and field values
Compute traffic statistics: top talkers, protocol distribution, port frequency
Detect SYN flood patterns by analyzing TCP flag ratios
Identify DNS exfiltration indicators via query length and entropy analysis
Craft custom probe packets for authorized network testing
Export findings as structured JSON report

Expected Output

JSON report containing packet statistics, protocol distribution, top source/destination IPs, detected anomalies (SYN floods, DNS tunneling indicators, fragmentation attacks), and per-flow summaries.