mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-08-03 17:30:19 +03:00
Each rewritten description now states both what the skill does (concrete capability, named tools/artifacts) and an explicit when-to-use trigger, improving agent discovery/activation. Grounded in each skill's own body; changes confined to the `description` field only (bodies and all other frontmatter untouched). Produced by a gated audit->rewrite->recheck loop (548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded). Schema: 817/817 pass. Framework-ID gate: 0 defects.
62 lines
2.4 KiB
Markdown
62 lines
2.4 KiB
Markdown
---
|
|
name: analyzing-network-packets-with-scapy
|
|
description: 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.
|
|
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
|
|
mitre_attack:
|
|
- T1040
|
|
- T1071
|
|
- T1046
|
|
- T1557
|
|
---
|
|
|
|
# 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.
|