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mukul975
efca3ec611
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
58 lines
2.2 KiB
Markdown
58 lines
2.2 KiB
Markdown
---
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name: analyzing-network-packets-with-scapy
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description: Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and
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traffic anomaly detection in authorized security testing
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domain: cybersecurity
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subdomain: network-security
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tags:
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- scapy
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- packet-analysis
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- network-forensics
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- protocol-dissection
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- pcap
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- traffic-analysis
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.IR-01
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- DE.CM-01
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- ID.AM-03
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- PR.DS-02
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---
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# Analyzing Network Packets with Scapy
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## Overview
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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.
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## When to Use
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- When investigating security incidents that require analyzing network packets with scapy
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Python 3.8+ with `scapy` library installed (`pip install scapy`)
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- Root/administrator privileges for raw socket operations (sniffing, sending)
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- Npcap (Windows) or libpcap (Linux) for packet capture
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- Authorization to perform packet operations on target network
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## Steps
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1. Read and parse pcap/pcapng files with `rdpcap()` for offline analysis
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2. Extract protocol layers (IP, TCP, UDP, DNS, HTTP) and field values
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3. Compute traffic statistics: top talkers, protocol distribution, port frequency
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4. Detect SYN flood patterns by analyzing TCP flag ratios
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5. Identify DNS exfiltration indicators via query length and entropy analysis
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6. Craft custom probe packets for authorized network testing
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7. Export findings as structured JSON report
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## Expected Output
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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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