Skip to main content Skills Marketplace Discover and explore AI skills built by the community.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Show prompt details A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/Undermybelt/hermes-skills --skill net-frnscs-wrshrkThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Download Zip Downloading... More from this repository Use when retiring old logic, collapsing duplicate owners, removing fallbacks, or touching schema, persistence, or source-of-truth boundaries while deciding whether to delete old paths, retain compatibility, or stop for confirmation.
Use when defining new features, product behavior, UI/component design, architecture choices, contract changes, or ambiguous medium/high-complexity work before implementation.
Use when the user asks for caveman mode, fewer tokens, brief responses, compressed communication, or otherwise explicitly requests a much shorter answer.
Related occupations SOC
Based on SOC occupation classification
name net-frnscs-wrshrk description Capture and analyze network traffic using Wireshark and tshark to reconstruct network events, extract artifacts, and identify malicious communications. domain cybersecurity subdomain digital-forensics tags ["forensics","network-forensics","wireshark","pcap","packet-analysis","traffic-analysis"] version 1.0 author mahipal license Apache-2.0 nist_csf ["RS.AN-01","RS.AN-03","DE.AE-02","RS.MA-01"]
Performing Network Forensics with Wireshark
When to Use
When analyzing captured network traffic (PCAP files) from a security incident
For identifying command-and-control (C2) communications in captured traffic
When reconstructing data exfiltration activities from packet captures
During malware analysis to identify network indicators of compromise
For extracting files, credentials, and artifacts transferred over the network
Prerequisites
Wireshark or tshark installed for packet analysis
PCAP/PCAPNG files from network captures (tcpdump, Wireshark, network TAP)
NetworkMiner for automated artifact extraction
Sufficient RAM for large capture files (1GB+ PCAPs need 8GB+ RAM)
Understanding of TCP/IP, HTTP, DNS, TLS protocols
GeoIP databases for IP geolocation
Workflow
Step 1: Prepare and Validate the Capture File
sudo apt-get install wireshark tshark
capinfos /cases/case-2024-001/network/capture.pcap
sha256sum /cases/case-2024-001/network/capture.pcap \
> /cases/case-2024-001/network/pcap_hash.txt
tshark -r /cases/case-2024-001/network/capture.pcap -q -z io,phs
Step 2: Filter and Identify Suspicious Traffic
tshark -r /cases/case-2024-001/network/capture.pcap -q -z conv,tcp
tshark -r /cases/case-2024-001/network/capture.pcap -q -z endpoints,ip \
| sort
'\t'
head
"dns.qr == 0"
"dns.qr == 0 && dns.qry.name matches \"[a-z0-9]{30,}\""
"http.request"
"tcp.dstport == 4444 || tcp.dstport == 8080 || tcp.dstport == 1337 || tcp.dstport == 6667"
"ip.dst == 185.0.0.1"
Step 3: Extract Files and Objects from Traffic
tshark -r /cases/case-2024-001/network/capture.pcap \
--export-objects http,/cases/case-2024-001/analysis/http_objects/
tshark -r /cases/case-2024-001/network/capture.pcap \
--export-objects smb,/cases/case-2024-001/analysis/smb_objects/
tshark -r /cases/case-2024-001/network/capture.pcap \
--export-objects dicom,/cases/case-2024-001/analysis/dicom_objects/
tshark -r /cases/case-2024-001/network/capture.pcap \
-Y "ftp-data" \
-T fields -e ftp-data.data \
--export-objects ftp-data,/cases/case-2024-001/analysis/ftp_objects/
find /cases/case-2024-001/analysis/http_objects/ -type f -exec sha256sum {} \; \
> /cases/case-2024-001/analysis/extracted_file_hashes.txt
while read hash filepath; do
echo "Checking $filepath ($hash )"
curl -s "https://www.virustotal.com/api/v3/files/$hash " \
-H "x-apikey: YOUR_API_KEY" | python3 -c "
import json,sys
data=json.load(sys.stdin)
if 'data' in data:
stats=data['data']['attributes']['last_analysis_stats']
print(f' Malicious: {stats[\"malicious\"]}, Undetected: {stats[\"undetected\"]}')
else:
print(' Not found on VT')
"
done < /cases/case-2024-001/analysis/extracted_file_hashes.txt
Step 4: Reconstruct TCP Streams and Sessions
tshark -r /cases/case-2024-001/network/capture.pcap \
-q -z "follow,tcp,ascii,42" \
> /cases/case-2024-001/analysis/stream_42.txt
tshark -r /cases/case-2024-001/network/capture.pcap \
-Y "http && ip.addr == 185.0.0.1" \
-T fields -e frame.time -e http.request.method -e http.host \
-e http.request.uri -e http.response.code -e http.content_length \
> /cases/case-2024-001/analysis/suspicious_http.txt
tshark -r /cases/case-2024-001/network/capture.pcap \
-Y "tls.handshake.type == 11" \
-T fields -e ip.dst -e tls.handshake.certificate \
> /cases/case-2024-001/analysis/tls_certs.txt
tshark -r /cases/case-2024-001/network/capture.pcap \
-Y "tls.handshake.extensions_server_name" \
-T fields -e frame.time -e ip.src -e ip.dst \
-e tls.handshake.extensions_server_name \
> /cases/case-2024-001/analysis/tls_sni.txt
tshark -r /cases/case-2024-001/network/capture.pcap \
-Y "ftp.request.command == \"USER\" || ftp.request.command == \"PASS\"" \
-T fields -e frame.time -e ip.src -e ftp.request.command -e ftp.request.arg
tshark -r /cases/case-2024-001/network/capture.pcap \
-Y "http.authorization" \
-T fields -e frame.time -e ip.src -e http.host -e http.authorization
Step 5: Use NetworkMiner for Automated Analysis
sudo apt-get install mono-complete
wget https://www.netresec.com/?download=NetworkMiner -O NetworkMiner.zip
unzip NetworkMiner.zip -d /opt/NetworkMiner/
mono /opt/NetworkMiner/NetworkMiner.exe /cases/case-2024-001/network/capture.pcap
Step 6: Generate Network Forensics Report
cat << 'EOF' > /cases/case-2024-001/analysis/network_forensics_report.txt
NETWORK FORENSICS ANALYSIS REPORT
===================================
Case: 2024-001
Capture File: capture.pcap (856 MB, 1,245,678 packets)
Capture Period: 2024-01-15 14:00 to 15:00 UTC
Analyst: [Examiner Name]
TRAFFIC OVERVIEW:
Total packets: 1,245,678
Unique source IPs: 45
Unique destination IPs: 234
Protocols: TCP (78%), UDP (18%), ICMP (2%), Other (2%)
C2 COMMUNICATION:
Destination: 185.0.0.1:443
Beaconing interval: ~60 seconds
Total connections: 58
Data transferred: 4.2 MB outbound, 12.3 MB inbound
TLS SNI: update-service.malware-c2.com
EXFILTRATION:
Method: HTTPS POST to 185.0.0.1
Volume: 4.2 MB over 45 minutes
Files: 3 ZIP archives extracted from HTTP objects
DNS TUNNELING:
Suspicious queries to: data.evil-dns.com
Average subdomain length: 45 characters
Query count: 1,234 (normal baseline: 50)
EOF
Key Concepts Concept Description PCAP/PCAPNG Packet capture file formats storing raw network traffic TCP stream Complete bidirectional communication between two endpoints Deep packet inspection Analysis of packet payload content beyond header information Beaconing Regular-interval callbacks from malware to C2 servers DNS tunneling Encoding data within DNS queries for covert exfiltration TLS/SNI Server Name Indication revealing the target hostname in encrypted connections Network flow Summary of communication between endpoints (IPs, ports, bytes, duration) Protocol hierarchy Statistical breakdown of protocols present in a capture
Tools & Systems Tool Purpose Wireshark GUI-based packet analyzer with deep protocol dissection tshark Command-line version of Wireshark for scripted analysis NetworkMiner Automated network forensic analysis and file extraction tcpdump Command-line packet capture utility zeek (Bro) Network security monitor generating structured connection logs ngrep Network grep for pattern matching in packet content capinfos PCAP file statistics and metadata utility mergecap Merge multiple PCAP files into a single capture
Common Scenarios Scenario 1: Malware C2 Communication Analysis
Load PCAP in Wireshark, identify beaconing patterns to external IPs, examine TLS certificates for self-signed or unusual issuers, extract HTTP POST data containing encoded commands, correlate C2 IPs with threat intelligence feeds.
Scenario 2: Data Exfiltration Detection
Analyze traffic statistics for unusually large outbound transfers, examine DNS query lengths for DNS tunneling indicators, track FTP and HTTP file uploads to external servers, reconstruct exfiltrated files from packet data.
Scenario 3: Lateral Movement in Enterprise Network
Filter for SMB, RDP, WMI, and PSExec traffic between internal hosts, identify credential usage patterns across multiple systems, trace the propagation path of the attacker through the network, correlate with Windows Event Log authentication events.
Scenario 4: Web Application Attack Reconstruction
Filter HTTP traffic to the web server, identify SQL injection, XSS, and directory traversal attempts, follow the TCP stream of the successful exploit, extract uploaded webshells or payloads, document the attack chain for the incident report.
Output Format Network Forensics Summary:
Capture: capture.pcap
Duration: 1 hour (14:00-15:00 UTC, 2024-01-15)
Packets: 1,245,678 | Size: 856 MB
Top Suspicious Connections:
192.168.1.50 -> 185.0.0.1:443 (C2, 58 connections, 4.2MB out)
192.168.1.50 -> 10.0.0.25:445 (SMB lateral movement)
192.168.1.50 -> 10.0.0.30:3389 (RDP lateral movement)
Extracted Artifacts:
Files: 23 (3 malicious per VT)
Credentials: 2 plaintext FTP logins
DNS Queries: 1,234 suspicious (possible tunneling)
TLS Certs: 5 self-signed certificates
IOCs Identified:
IPs: 185.0.0.1, 203.0.113.50
Domains: update-service.malware-c2.com, data.evil-dns.com
Hashes: 3 file hashes flagged as malware
