Analyzing Network Packets With Scapy

---
name: analyzing-network-packets-with-scapy
description: Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly Tespit in authorized security testing
tags:
- traffic-analysis
- protocol-dissection
- network-forensics
- siber-güvenlik
- pcap
- network-security
- fetih
- cybersecurity
- packet-analysis
- scapy
triggers:
- IDS
- IPS
- analyzing
- ağ güvenliği
- dns
- firewall
- http
- incident
- network
- network security
- packets
- scapy
category: network-security
source_subdomain: network-security
nist_csf:
- PR.IR-01
- DE.CM-01
- ID.AM-03
- PR.DS-02
adapted_for: fetih
---

# Analyzing Network Packets with Scapy


## Genel Bakış

Scapy is a Python packet manipulation library that enables crafting, sending, sniffing, and dissecting network packets at granular protocol layers. bu 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 Tespit etme anomalous traffic patterns such as unusually fragmented packets or malformed headers.


## Ne Zaman Kullanılır

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

## Ön Gereksinimler

- Python 3.8+ with `scapy` library kurulu (`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

## Adımlar

1. Read and parse pcap/pcapng files with `rdpcap()` for offline analysis
2. Extract protocol layers (IP, TCP, UDP, DNS, HTTP) and field values
3. Compute traffic statistics: top talkers, protocol distribution, port frequency
4. tespit etme
SYN flood patterns by analyzing TCP flag ratios
5. Identify DNS exfiltration indicators via query length and entropy analysis
6. Craft custom probe packets for authorized network testing
7. Export Bul:ings 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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