Traffic Analysis Pcap logo

Traffic Analysis Pcap

OrganizationPopular
yaklang
traffic-analysis-pcap

Traffic analysis and PCAP forensics playbook. Use when analyzing network captures including Wireshark filters, protocol analysis (HTTP/DNS/FTP/SMTP/USB/WiFi), data extraction, covert channel detection, PCAP repair, TLS decryption, and tshark command-line analysis.

Overview

Publisheryaklang
Repositoryhack-skills
Skill nametraffic-analysis-pcap
Stars
2.3K
Forks
314
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by yaklang on GitHub. Read the source before you install it.

Installation

Install the Traffic Analysis Pcap AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yaklang/hack-skills/tree/main/skills/traffic-analysis-pcap
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yaklang/hack-skills.git /tmp/hack-skills
mkdir -p .claude/skills
cp -r /tmp/hack-skills/skills/traffic-analysis-pcap .claude/skills/traffic-analysis-pcap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Traffic Analysis Pcap in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Traffic Analysis Pcap on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Traffic Analysis Pcap is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SKILL: Traffic Analysis & PCAP — Expert Analysis Playbook

AI LOAD INSTRUCTION: Expert traffic analysis and PCAP forensics techniques. Covers PCAP repair, Wireshark essential filters, protocol-specific analysis (HTTP, HTTPS/TLS, DNS, FTP, SMTP, USB HID, WiFi, ICMP), data extraction (file carving, credential harvesting, covert channels), NetworkMiner, and tshark CLI analysis. Base models miss USB keyboard decode patterns, DNS tunneling detection heuristics, and TLS decryption workflows.

0. RELATED ROUTING

Before going deep, consider loading:


1. PCAP REPAIR

bash
pcapfix corrupted.pcap -o fixed.pcap           # repair corrupted PCAP
# Magic bytes: d4c3b2a1=pcap(LE), a1b2c3d4=pcap(BE), 0a0d0d0a=pcapng
editcap -F pcap capture.pcapng capture.pcap    # convert pcapng→pcap
mergecap -w merged.pcap file1.pcap file2.pcap  # merge captures

2. WIRESHARK ESSENTIAL FILTERS

IP / Host Filters

ip.addr == 10.0.0.1                  # source or destination
ip.src == 10.0.0.1                   # source only
ip.dst == 10.0.0.1                   # destination only
ip.addr == 10.0.0.0/24              # subnet
!(ip.addr == 10.0.0.1)              # exclude host

Protocol Filters

http                                  # all HTTP
dns                                   # all DNS
tcp                                   # all TCP
ftp                                   # all FTP
smtp                                  # all SMTP
tls                                   # all TLS/SSL
icmp                                  # all ICMP
arp                                   # all ARP

TCP / Stream

tcp.stream eq 5                       # follow specific TCP stream
tcp.port == 80                        # traffic on port 80
tcp.flags.syn == 1 && tcp.flags.ack == 0   # SYN packets (connection starts)
tcp.analysis.retransmission           # retransmitted packets
tcp.len > 0                           # packets with payload

HTTP

http.request.method == "POST"         # POST requests
http.request.method == "GET"          # GET requests
http.response.code == 200             # successful responses
http.response.code >= 400             # error responses
http.request.uri contains "login"     # URI contains string
http.host contains "target.com"       # specific host
http.content_type contains "json"     # JSON responses
http.cookie contains "session"        # session cookies
http.request.full_uri                 # show full URIs (column)

DNS

dns.qry.name contains "evil.com"     # specific domain queries
dns.qry.type == 1                    # A records
dns.qry.type == 28                   # AAAA records
dns.qry.type == 16                   # TXT records
dns.flags.response == 1              # DNS responses only
dns.resp.len > 100                   # large DNS responses

TLS

tls.handshake.type == 1              # Client Hello
tls.handshake.type == 2              # Server Hello
tls.handshake.extensions.server_name  # SNI (hostname)
tls.handshake.type == 11             # Certificate

Content Search

frame contains "password"             # search in raw bytes
frame contains "flag{"                # CTF flag pattern
tcp contains "admin"                  # search in TCP payload

3. PROTOCOL ANALYSIS

HTTP — Follow Stream & Extract

Right-click packet → Follow → TCP Stream
# Shows full HTTP request/response conversation

# File extraction:
# File → Export Objects → HTTP → Save All

# Useful filters for credential hunting:
http.request.method == "POST" && frame contains "password"
http.request.method == "POST" && frame contains "login"
http.authbasic                        # Basic auth (base64 encoded)

HTTPS / TLS Decryption

bash
# Method 1: SSLKEYLOGFILE (pre-master secrets from browser)
# Set environment variable BEFORE opening browser:
export SSLKEYLOGFILE=/tmp/sslkeys.log
firefox https://target.com

# Wireshark: Edit → Preferences → Protocols → TLS
# → (Pre)-Master-Secret log filename: /tmp/sslkeys.log

# Method 2: Server private key (for RSA key exchange only)
# Wireshark: Edit → Preferences → Protocols → TLS → RSA keys list
# → Add: IP, Port, Protocol, Key file (.pem)

DNS — Tunneling Detection

bash
# Indicators of DNS tunneling:
# 1. Unusually long subdomain names (>30 chars)
# 2. High volume of TXT record queries/responses
# 3. Consistent query patterns to same domain
# 4. Base32/Base64-like subdomain strings
# 5. High query frequency from single host

# Wireshark filter for suspicious DNS:
dns.qry.name.len > 50                # long query names
dns.qry.type == 16                   # TXT records (common for tunneling)
dns.resp.len > 512                   # large DNS responses

# tshark extraction:
tshark -r capture.pcap -Y "dns.qry.type==16" -T fields -e dns.qry.name

FTP — Credential & File Extraction

bash
# FTP credentials (plaintext)
# Filter: ftp.request.command == "USER" || ftp.request.command == "PASS"

# FTP file transfer reconstruction:
# FTP uses separate data channel (usually port 20 or dynamic)
# Follow TCP stream of data connection to extract file

# tshark:
tshark -r capture.pcap -Y "ftp.request.command==USER || ftp.request.command==PASS" -T fields -e ftp.request.arg

SMTP — Email Content Extraction

bash
# Follow TCP stream → MAIL FROM/RCPT TO/DATA sections
# Attachments: base64 in MIME → decode Content-Transfer-Encoding blocks
# Filters:
smtp.req.command == "AUTH"            # authentication (often base64)
smtp contains "Content-Disposition: attachment"   # attachments

USB — Keyboard HID Capture Decode

bash
# USB HID keyboard traffic: interrupt transfers with 8-byte data
# Filter: usb.transfer_type == 0x01

# Extract keystrokes:
tshark -r usb.pcap -Y "usb.capdata && usb.data_len == 8" -T fields -e usb.capdata > keystrokes.txt

# HID keycode layout: byte[0]=modifier, byte[2]=keycode
# 0x04=a..0x1d=z, 0x1e=1..0x27=0, 0x28=Enter, 0x2c=Space
# Use Python/online HID decoder to convert keycodes → text

WiFi — WPA Handshake

bash
# Capture: airodump-ng --bssid AP_MAC -w capture wlan0mon
# Convert + crack: hcxpcapngtool -o hash.hc22000 capture.pcap
hashcat -m 22000 hash.hc22000 wordlist.txt
# Deauth detection: wlan.fc.type_subtype == 0x0c

ICMP — Data Exfiltration

bash
# ICMP payload analysis
# Normal ping: 32 or 64 bytes of pattern data
# Exfiltration: meaningful data in ICMP payload

# Filter:
icmp && data.len > 48                 # unusual ICMP payload size
icmp.type == 8                        # echo requests

# Extract ICMP payloads:
tshark -r capture.pcap -Y "icmp.type==8" -T fields -e data.data

4. DATA EXTRACTION

File Carving

bash
# Wireshark: File → Export Objects
# Supported: HTTP, SMB, TFTP, IMF (email), DICOM

# Manual from reassembled stream:
# Follow TCP Stream → Show as Raw → Save As

# binwalk on exported stream data
binwalk -e exported_stream.bin
foremost -i exported_stream.bin -o carved/

Credential Harvesting

bash
# Plaintext: ftp || telnet || http.authbasic || smtp || pop || imap
# NTLM: ntlmssp.auth.username → extract challenge/response from NTLMSSP messages
# Hash format: user::domain:challenge:NTProofStr:blob → hashcat -m 5600

Covert Channel Detection

Indicators: DNS with long subdomains, ICMP with large payloads, HTTP with encoded headers, regular beacon intervals (C2). Use tshark -q -z io,stat,1 and -z conv,tcp for statistical anomaly detection.


5. NETWORKMINER

bash
# Automated PCAP analysis: sudo apt install networkminer
# Open PCAP → auto-extracts: Files, Images, Credentials, Sessions, DNS
# Files tab: carved from HTTP/SMB/FTP | Credentials tab: plaintext creds

6. TSHARK COMMAND-LINE ANALYSIS

bash
tshark -r capture.pcap -Y "http.request" -T fields -e http.host -e http.request.uri
tshark -r capture.pcap -Y "dns.flags.response==0" -T fields -e dns.qry.name | sort -u
tshark -r capture.pcap -Y "http.request.method==POST" -T fields -e http.file_data
tshark -r capture.pcap -q -z io,stat,1                # I/O graph
tshark -r capture.pcap -q -z conv,tcp                  # TCP conversations
tshark -r capture.pcap -q -z endpoints,ip              # IP endpoints
tshark -r capture.pcap -q -z io,phs                    # protocol hierarchy
tshark -r capture.pcap -q -z follow,tcp,ascii,0        # follow stream 0
tshark -r capture.pcap --export-objects http,/tmp/exported/

7. DECISION TREE

PCAP file for analysis
│
├── File won't open?
│   ├── Check magic bytes: xxd | head (§1)
│   ├── Repair: pcapfix (§1)
│   └── Convert: editcap pcapng→pcap (§1)
│
├── What's in the capture? (Quick overview)
│   ├── tshark -q -z io,phs (protocol hierarchy) (§6)
│   ├── tshark -q -z conv,tcp (conversations) (§6)
│   └── tshark -q -z endpoints,ip (endpoints) (§6)
│
├── HTTP traffic?
│   ├── Export objects: File → Export Objects → HTTP (§4)
│   ├── Credential hunt: POST + password/login filters (§3)
│   ├── Follow streams: interesting request/response pairs (§3)
│   └── Encrypted (HTTPS)? → need SSLKEYLOGFILE or RSA key (§3)
│
├── DNS traffic?
│   ├── Long subdomains? → DNS tunneling (§3)
│   ├── High TXT record volume? → DNS exfiltration (§3)
│   ├── Extract all queries: tshark -Y dns -T fields -e dns.qry.name (§6)
│   └── DNS rebinding? → check for alternating A record responses
│
├── FTP / Telnet / SMTP?
│   ├── Extract credentials (plaintext) (§3)
│   ├── Reconstruct file transfers (follow data stream) (§3)
│   └── Email content and attachments (base64 decode) (§3)
│
├── USB traffic?
│   ├── Keyboard HID → decode keystrokes (§3)
│   ├── Storage → extract transferred files
│   └── Check transfer_type and data_len fields
│
├── WiFi traffic?
│   ├── WPA handshake → crack with hashcat (§3)
│   ├── Deauth frames → detect attack (§3)
│   └── Probe requests → device fingerprinting
│
├── ICMP traffic?
│   ├── Large/variable payloads → data exfiltration (§3)
│   ├── Regular pattern → ICMP tunnel (§3)
│   └── Extract payloads: tshark -Y icmp -T fields -e data.data
│
├── Suspicious patterns?
│   ├── Regular beacon interval → C2 communication (§4)
│   ├── Unusual port/protocol combos → covert channel (§4)
│   ├── High volume to single external IP → data exfil (§4)
│   └── Encrypted traffic without SNI → suspicious tunnel
│
└── Need automated extraction?
    ├── NetworkMiner for files/creds/images (§5)
    ├── tshark --export-objects for HTTP/SMB files (§6)
    └── binwalk/foremost on exported streams (§4)

Frequently asked questions

What does the Traffic Analysis Pcap AI skill do?

Traffic analysis and PCAP forensics playbook. Use when analyzing network captures including Wireshark filters, protocol analysis (HTTP/DNS/FTP/SMTP/USB/WiFi), data extraction, covert channel detection, PCAP repair, TLS decryption, and tshark command-line analysis.

Why use Traffic Analysis Pcap on TypingMind?

Because you install it once and use it with any model. Traffic Analysis Pcap is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Traffic Analysis Pcap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaklang/hack-skills/tree/main/skills/traffic-analysis-pcap. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Traffic Analysis Pcap?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Traffic Analysis Pcap?

As many as you like. As long as a model supports skills, you can use Traffic Analysis Pcap with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Traffic Analysis Pcap AI skill free?

Yes. It is published on GitHub by yaklang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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