analyzing-network-traffic-with-wireshark

Q: How do I install analyzing-network-traffic-with-wireshark?

Run npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-network-traffic-with-wireshark in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/analyzing-network-traffic-with-wireshark/ (personal) or .claude/skills/analyzing-network-traffic-with-wireshark/ (project).

by mukul975AI & Agents

Captures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns, diagnose protocol issues, extract artifacts, and support incident response investigations on authorized network segments.

Installs: 534
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-network-traffic-with-wireshark

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads analyzing-network-traffic-with-wireshark automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Analyzing Network Traffic with Wireshark

When to Use

Investigating suspected network intrusions by examining packet-level evidence of command-and-control traffic, data exfiltration, or lateral movement
Diagnosing network performance issues such as retransmissions, fragmentation, or DNS resolution failures
Analyzing malware communication patterns by capturing traffic from sandboxed or isolated hosts
Validating firewall and IDS rules by confirming what traffic is actually traversing network segments
Extracting files, credentials, or indicators of compromise from captured network sessions

Do not use to capture traffic on networks without authorization, to intercept private communications without legal authority, or as a substitute for full-featured SIEM platforms in production monitoring.

Prerequisites

Wireshark 4.0+ and tshark command-line utility installed
Root/sudo privileges or membership in the wireshark group for live packet capture
Network interface access (physical NIC, span port, or network tap) to the monitored segment
Sufficient disk space for packet capture files (estimate 1 GB per minute on busy gigabit links)
Familiarity with TCP/IP protocols, HTTP, DNS, TLS, and SMB at the packet level

Workflow

Step 1: Configure Capture Environment

Set up the capture interface and filters to target relevant traffic:

# List available interfaces
tshark -D

# Start capture on eth0 with a capture filter to limit scope
tshark -i eth0 -f "host 10.10.5.23 and (port 80 or port 443 or port 445)" -w /tmp/capture.pcapng

# Capture with ring buffer to manage disk usage (10 files, 100MB each)
tshark -i eth0 -b filesize:102400 -b files:10 -w /tmp/rolling_capture.pcapng

# Capture on multiple interfaces simultaneously
tshark -i eth0 -i eth1 -w /tmp/multi_interface.pcapng

For Wireshark GUI, set capture filter in the Capture Options dialog before starting.

Step 2: Apply Display Filters for Targeted Analysis

# Filter HTTP traffic containing suspicious user agents
tshark -r capture.pcapng -Y "http.user_agent contains \"curl\" or http.user_agent contains \"Wget\""

# Find DNS queries to suspicious TLDs
tshark -r capture.pcapng -Y "dns.qry.name contains \".xyz\" or dns.qry.name contains \".top\" or dns.qry.name contains \".tk\""

# Identify TCP retransmissions indicating network issues
tshark -r capture.pcapng -Y "tcp.analysis.retransmission"

# Filter SMB traffic for lateral movement detection
tshark -r capture.pcapng -Y "smb2.cmd == 5 or smb2.cmd == 3" -T fields -e ip.src -e ip.dst -e smb2.filename

# Find cleartext credential transmission
tshark -r capture.pcapng -Y "ftp.request.command == \"PASS\" or http.authbasic"

# Detect beaconing patterns (regular interval connections)
tshark -r capture.pcapng -Y "ip.dst == 203.0.113.50" -T fields -e frame.time_relative -e ip.src -e tcp.dstport

Step 3: Protocol-Specific Deep Analysis

# Follow a TCP stream to reconstruct a conversation
tshark -r capture.pcapng -q -z follow,tcp,ascii,0

# Analyze HTTP request/response pairs
tshark -r capture.pcapng -Y "http" -T fields -e frame.time -e ip.src -e ip.dst -e http.request.method -e http.request.uri -e http.response.code

# Extract DNS query/response statistics
tshark -r capture.pcapng -q -z dns,tree

# Analyze TLS handshakes for weak cipher suites
tshark -r capture.pcapng -Y "tls.handshake.type == 2" -T fields -e ip.src -e ip.dst -e tls.handshake.ciphersuite

# SMB file access enumeration
tshark -r capture.pcapng -Y "smb2" -T fields -e frame.time -e ip.src -e ip.dst -e smb2.filename -e smb2.cmd

Step 4: Extract Artifacts and IOCs

# Export HTTP objects (files transferred over HTTP)
tshark -r capture.pcapng --export-objects http,/tmp/http_objects/

# Export SMB objects (files transferred over SMB)
tshark -r capture.pcapng --export-objects smb,/tmp/smb_objects/

# Extract all unique destination IPs for threat intelligence lookup
tshark -r capture.pcapng -T fields -e ip.dst | sort -u > unique_dest_ips.txt

# Extract SSL/TLS certificate information
tshark -r capture.pcapng -Y "tls.handshake.type == 11" -T fields -e x509sat.uTF8String -e x509ce.dNSName

# Extract all URLs accessed
tshark -r capture.pcapng -Y "http.request" -T fields -e http.host -e http.request.uri | sort -u > urls.txt

# Hash extracted files for IOC matching
find /tmp/http_objects/ -type f -exec sha256sum {} \; > extracted_file_hashes.txt

Step 5: Statistical Analysis and Anomaly Detection

# Protocol hierarchy statistics
tshark -r capture.pcapng -q -z io,phs

# Conversation statistics sorted by bytes
tshark -r capture.pcapng -q -z conv,tcp -z conv,udp

# Identify top talkers
tshark -r capture.pcapng -q -z endpoints,ip

# IO graph data (packets per second)
tshark -r capture.pcapng -q -z io,stat,1,"COUNT(frame) frame"

# Detect port scanning patterns
tshark -r capture.pcapng -Y "tcp.flags.syn == 1 and tcp.flags.ack == 0" -T fields -e ip.src -e tcp.dstport | sort | uniq -c | sort -rn | head -20

Step 6: Generate Reports and Export Evidence

# Export filtered packets to a new PCAP for evidence preservation
tshark -r capture.pcapng -Y "ip.addr == 10.10.5.23 and tcp.port == 4444" -w evidence_c2_traffic.pcapng

# Generate packet summary in CSV format
tshark -r capture.pcapng -T fields -E header=y -E separator=, -e frame.number -e frame.time -e ip.src -e ip.dst -e ip.proto -e tcp.srcport -e tcp.dstport -e frame.len > traffic_summary.csv

# Create PDML (XML) output for programmatic analysis
tshark -r capture.pcapng -T pdml > capture_analysis.xml

# Calculate capture file hash for chain of custody
sha256sum capture.pcapng > capture_hash.txt

Key Concepts

Term	Definition
Capture Filter (BPF)	Berkeley Packet Filter syntax applied at capture time to limit which packets are recorded, reducing file size and improving performance
Display Filter	Wireshark-specific filter syntax applied to already-captured packets for focused analysis without altering the capture file
PCAPNG	Next-generation packet capture format supporting multiple interfaces, name resolution, annotations, and metadata in a single file
TCP Stream	Reassembled sequence of TCP segments representing a complete bidirectional conversation between two endpoints
Protocol Dissector	Wireshark module that decodes a specific protocol's fields and structure, enabling deep inspection of packet contents
IO Graph	Time-series visualization of packet or byte rates over the capture duration, useful for identifying traffic spikes or beaconing

Tools & Systems

Wireshark 4.0+: GUI-based packet analyzer with protocol dissectors for 3,000+ protocols, stream reassembly, and export capabilities
tshark: Command-line version of Wireshark for headless capture, batch processing, and scripted analysis pipelines
tcpdump: Lightweight packet capture tool for quick captures on remote systems without GUI dependencies
mergecap: Wireshark utility for combining multiple capture files into a single PCAP for unified analysis
editcap: Wireshark utility for splitting, filtering, and converting between capture file formats

Common Scenarios

Scenario: Investigating Suspected Data Exfiltration via DNS Tunneling

Context: The SOC team detected unusually high DNS query volumes from a workstation (10.10.3.45) to an external domain. The SIEM alert flagged DNS queries averaging 200 per minute compared to the baseline of 15. A packet capture was initiated from the network tap on the workstation's VLAN.

Approach:

Capture traffic from the workstation's subnet using tshark -i eth2 -f "host 10.10.3.45 and port 53" -w dns_exfil_investigation.pcapng
Analyze DNS query patterns: tshark -r dns_exfil_investigation.pcapng -Y "dns.qry.name contains \"suspect-domain.xyz\"" -T fields -e frame.time -e dns.qry.name
Examine subdomain labels for encoded data (long base64-like subdomains indicate tunneling): tshark -r dns_exfil_investigation.pcapng -Y "dns.qry.type == 16" -T fields -e dns.qry.name -e dns.txt
Calculate data volume by summing query name lengths to estimate exfiltration bandwidth
Extract unique query names and decode base64 subdomains to recover exfiltrated content
Export evidence packets to a separate PCAP and generate SHA-256 hash for chain of custody

Pitfalls:

Capturing unfiltered traffic on a busy network and running out of disk space before collecting relevant data
Using display filters instead of capture filters, resulting in massive files that are slow to process
Overlooking encrypted DNS (DoH/DoT) traffic that bypasses traditional DNS capture on port 53
Failing to establish packet capture hash and chain of custody documentation for forensic evidence

Output Format

## Traffic Analysis Report

**Case ID**: IR-2024-0847
**Capture File**: dns_exfil_investigation.pcapng
**SHA-256**: a3f2b8c1d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1
**Duration**: 2024-03-15 14:00:00 to 14:45:00 UTC
**Source Interface**: eth2 (VLAN 30 span port)

### Findings

**1. DNS Tunneling Confirmed**
- Source: 10.10.3.45
- Destination DNS: 8.8.8.8 (forwarded to ns1.suspect-domain.xyz)
- Query volume: 9,247 queries in 45 minutes (205/min vs 15/min baseline)
- Average subdomain label length: 63 characters (base64-encoded data)
- Estimated data exfiltrated: ~2.3 MB via TXT record responses

**2. Indicators of Compromise**
- Domain: suspect-domain.xyz (registered 3 days prior)
- Nameserver: ns1.suspect-domain.xyz (203.0.113.50)
- Query pattern: TXT record requests with base64-encoded subdomains
- Response pattern: TXT records containing base64-encoded payloads

FAQ

What does the analyzing-network-traffic-with-wireshark skill do?

How do I install analyzing-network-traffic-with-wireshark?

Run npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-network-traffic-with-wireshark in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/analyzing-network-traffic-with-wireshark/ (personal) or .claude/skills/analyzing-network-traffic-with-wireshark/ (project).

Which AI agents can use analyzing-network-traffic-with-wireshark?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is analyzing-network-traffic-with-wireshark safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains analyzing-network-traffic-with-wireshark?

It is published by mukul975 in mukul975/anthropic-cybersecurity-skills. It has 534 recorded installs.