🎯

protocol-reverse-engineering

🎯Skill

Teaches how to record and study the data that programs send over a network, so you can figure out how an undocumented communication format works. Useful for security research, making tools work together, and fixing network problems.

wshobson/agents9,252 Installs27,673Added Jan 31, 2026

Installation

$npx skills add wshobson/agents --skill protocol-reverse-engineering

Run it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).

Uses skills.sh Β· Node.js 22.20+

After installing

Ask for related work and the agent uses it on its own, or call it yourself.

Run it (Claude Code)/protocol-reverse-engineering
Install by hand

Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.

Open the skill folder β†’
  • This project .claude/skills/protocol-reverse-engineering/
  • All projects ~/.claude/skills/protocol-reverse-engineering/

These paths are for Claude Code. For other tools, the command above puts it in the right place.

What this skill does

Overview

This skill covers protocol reverse engineering. A protocol is the set of rules two programs follow when they talk over a network. Reverse engineering here means working out those rules by watching real traffic, when no documentation exists.

  • Record network traffic to a file with tools like Wireshark, tshark and tcpdump.
  • Filter recorded traffic to find the messages you care about.
  • Recognize common formats such as web, email or database traffic by their first bytes.
  • Write short Python scripts with Scapy to read, change and resend messages.
  • Write up what you learned as a clear specification document.

Key Features

The skill gives ready-to-use commands and code for each step, from capturing data to testing your findings. It also lays out a step-by-step workflow and common patterns to look for in unknown messages.

  • Watch encrypted web traffic through a proxy, a middle program that sits between app and server, such as mitmproxy or Burp Suite.
  • Spot typical message parts like length fields, message types and checksums (small values used to detect errors).
  • Test how a program handles odd input with Boofuzz, a tool that sends many varied messages automatically.
  • Replay recorded traffic, with or without changes, to see how a server reacts.
  • Follow a seven-step workflow from capture to edge-case testing.

Who is this for?

It is meant for security researchers, network engineers and developers who must work with systems that lack documentation. Use it only on systems you own or have permission to test.

Summarized by AI from this skill's SKILL.md. Suggest a better one

Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.

Protocol Reverse Engineering

Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.

Traffic Capture

Wireshark Capture

# Capture on specific interface
wireshark -i eth0 -k

# Capture with filter
wireshark -i eth0 -k -f "port 443"

# Capture to file
tshark -i eth0 -w capture.pcap

# Ring buffer capture (rotate files)
tshark -i eth0 -b filesize:100000 -b files:10 -w capture.pcap

tcpdump Capture

# Basic capture
tcpdump -i eth0 -w capture.pcap

# With filter
tcpdump -i eth0 port 8080 -w capture.pcap

# Capture specific bytes
tcpdump -i eth0 -s 0 -w capture.pcap  # Full packet

# Real-time display
tcpdump -i eth0 -X port 80

Man-in-the-Middle Capture

# mitmproxy for HTTP/HTTPS
mitmproxy --mode transparent -p 8080

# SSL/TLS interception
mitmproxy --mode transparent --ssl-insecure

# Dump to file
mitmdump -w traffic.mitm

# Burp Suite
# Configure browser proxy to 127.0.0.1:8080

Protocol Analysis

Wireshark Analysis

# Display filters
tcp.port == 8080
http.request.method == "POST"
ip.addr == 192.168.1.1
tcp.flags.syn == 1 && tcp.flags.ack == 0
frame contains "password"

# Following streams
Right-click > Follow > TCP Stream
Right-click > Follow > HTTP Stream

# Export objects
File > Export Objects > HTTP

# Decryption
Edit > Preferences > Protocols > TLS
  - (Pre)-Master-Secret log filename
  - RSA keys list

tshark Analysis

# Extract specific fields
tshark -r capture.pcap -T fields -e ip.src -e ip.dst -e tcp.port

# Statistics
tshark -r capture.pcap -q -z conv,tcp
tshark -r capture.pcap -q -z endpoints,ip

# Filter and extract
tshark -r capture.pcap -Y "http" -T json > http_traffic.json

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

Scapy for Custom Analysis

from scapy.all import *

# Read pcap
packets = rdpcap("capture.pcap")

# Analyze packets
for pkt in packets:
    if pkt.haslayer(TCP):
        print(f"Src: {pkt[IP].src}:{pkt[TCP].sport}")
        print(f"Dst: {pkt[IP].dst}:{pkt[TCP].dport}")
        if pkt.haslayer(Raw):
            print(f"Data: {pkt[Raw].load[:50]}")

# Filter packets
http_packets = [p for p in packets if p.haslayer(TCP)
                and (p[TCP].sport == 80 or p[TCP].dport == 80)]

# Create custom packets
pkt = IP(dst="target")/TCP(dport=80)/Raw(load="GET / HTTP/1.1\r\n")
send(pkt)

Protocol Identification

Common Protocol Signatures

HTTP        - "HTTP/1." or "GET " or "POST " at start
TLS/SSL     - 0x16 0x03 (record layer)
DNS         - UDP port 53, specific header format
SMB         - 0xFF 0x53 0x4D 0x42 ("SMB" signature)
SSH         - "SSH-2.0" banner
FTP         - "220 " response, "USER " command
SMTP        - "220 " banner, "EHLO" command
MySQL       - 0x00 length prefix, protocol version
PostgreSQL  - 0x00 0x00 0x00 startup length
Redis       - "*" RESP array prefix
MongoDB     - BSON documents with specific header

Protocol Header Patterns

+--------+--------+--------+--------+
|  Magic number / Signature         |
+--------+--------+--------+--------+
|  Version       |  Flags          |
+--------+--------+--------+--------+
|  Length        |  Message Type   |
+--------+--------+--------+--------+
|  Sequence Number / Session ID     |
+--------+--------+--------+--------+
|  Payload...                       |
+--------+--------+--------+--------+

Before binary protocol or encryption analysis, read parsers, structure identification, and TLS techniques.

Before documenting a protocol or writing a dissector, read the specification template and Lua example.

Active Testing

Fuzzing with Boofuzz

from boofuzz import *

def main():
    session = Session(
        target=Target(
            connection=TCPSocketConnection("target", 8888)
        )
    )

    # Define protocol structure
    s_initialize("HELLO")
    s_static(b"\x50\x52\x4f\x54")  # Magic
    s_word(1, name="version")       # Version
    s_word(0x01, name="type")       # Type (HELLO)
    s_size("payload", length=4)     # Length field
    s_block_start("payload")
    s_dword(0x12345678, name="client_id")
    s_word(0, name="flags")
    s_block_end()

    session.connect(s_get("HELLO"))
    session.fuzz()

if __name__ == "__main__":
    main()

Replay and Modification

from scapy.all import *

# Replay captured traffic
packets = rdpcap("capture.pcap")
for pkt in packets:
    if pkt.haslayer(TCP) and pkt[TCP].dport == 8888:
        send(pkt)

# Modify and replay
for pkt in packets:
    if pkt.haslayer(Raw):
        # Modify payload
        original = pkt[Raw].load
        modified = original.replace(b"client", b"CLIENT")
        pkt[Raw].load = modified
        # Recalculate checksums
        del pkt[IP].chksum
        del pkt[TCP].chksum
        send(pkt)

Best Practices

Analysis Workflow

  1. Capture traffic: Multiple sessions, different scenarios
  2. Identify boundaries: Message start/end markers
  3. Map structure: Fixed header, variable payload
  4. Identify fields: Compare multiple samples
  5. Document format: Create specification
  6. Validate understanding: Implement parser/generator
  7. Test edge cases: Fuzzing, boundary conditions

Common Patterns to Look For

  • Magic numbers/signatures at message start
  • Version fields for compatibility
  • Length fields (often before variable data)
  • Type/opcode fields for message identification
  • Sequence numbers for ordering
  • Checksums/CRCs for integrity
  • Timestamps for timing
  • Session/connection identifiers

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