CtrlK
BlogDocsLog inGet started
Tessl Logo

analyzing-network-packets-with-scapy

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.

63

Quality

75%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/analyzing-network-packets-with-scapy/SKILL.md
SKILL.md
Quality
Evals
Security

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.

Repository
mukul975/Anthropic-Cybersecurity-Skills
Last updated
First committed

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.