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.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionanalyzing-network-traffic-with-wiresharkExecute the skills CLI command in your project's root directory to begin installation:
Fetches analyzing-network-traffic-with-wireshark from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analyzing-network-traffic-with-wireshark. Access via /analyzing-network-traffic-with-wireshark in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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| name | analyzing-network-traffic-with-wireshark |
| description | '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. ' |
| domain | cybersecurity |
| subdomain | network-security |
| tags | - network-security - wireshark - packet-analysis - traffic-analysis - pcap |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - DE.CM-01 - ID.AM-03 - PR.DS-02 |
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.
wireshark group for live packet captureSet 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.
# 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
# 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
# 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
# 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
# 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
| 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 |
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:
tshark -i eth2 -f "host 10.10.3.45 and port 53" -w dns_exfil_investigation.pcapngtshark -r dns_exfil_investigation.pcapng -Y "dns.qry.name contains \"suspect-domain.xyz\"" -T fields -e frame.time -e dns.qry.nametshark -r dns_exfil_investigation.pcapng -Y "dns.qry.type == 16" -T fields -e dns.qry.name -e dns.txtPitfalls:
## 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
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
analyzing-network-traffic-with-wireshark is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend analyzing-network-traffic-with-wireshark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in analyzing-network-traffic-with-wireshark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
analyzing-network-traffic-with-wireshark is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in analyzing-network-traffic-with-wireshark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
analyzing-network-traffic-with-wireshark has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: analyzing-network-traffic-with-wireshark is the kind of skill you can hand to a new teammate without a long onboarding doc.
analyzing-network-traffic-with-wireshark is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: analyzing-network-traffic-with-wireshark is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend analyzing-network-traffic-with-wireshark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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