Analyzing Network Packets With Scapy

mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-network-packets-with-scapy

by mukul97554a798831d2266a3ca61ce68a7acb80b81160d57Apache-2.034K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 5 weeks ago

Use Scapy to craft, send, sniff, and dissect TCP/UDP/ICMP/DNS packets, analyze pcap files, implement SYN scans, and detect anomalous traffic such as fragmented or malformed packets. Use when performing authorized network reconnaissance, protocol-level forensic analysis, or building traffic anomaly detection during security testing.

Includes scriptsSecurity
AI-generated overview

Uses Scapy to craft, sniff and dissect packets, analyze pcap files and detect anomalous network traffic.

What it does
Guides an agent through using the Scapy Python library to craft, send, sniff and dissect TCP, UDP, ICMP and DNS packets at protocol-layer granularity. It covers reading pcap and pcapng files offline, extracting protocol layers and field values, and computing traffic statistics such as top talkers, protocol distribution and port frequency. It also describes detecting SYN flood patterns from TCP flag ratios and DNS exfiltration indicators via query length and entropy, then exporting findings as a structured JSON report with packet statistics, anomalies and per-flow summaries.
When to use it
Use it for authorized network reconnaissance, protocol-level forensic analysis of captured traffic, or building traffic anomaly detection during security testing. It fits incident investigation, detection-rule and threat-hunting work, and validating security monitoring coverage for related attack techniques. Only run packet operations on networks you are authorized to test.
Requirements
Python 3.8 or later with the scapy library installed; root or administrator privileges for raw socket sniffing and sending; Npcap on Windows or libpcap on Linux for capture; authorization to perform packet operations on the target network. Ships an executable script (scripts/agent.py) plus an API reference document.

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

  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. Detect 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 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.

Source and attribution

Source:mukul975/Anthropic-Cybersecurity-Skillsinskills/analyzing-network-packets-with-scapyat commit54a7988

License: Apache-2.0

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal