protocol-reverse-engineering
Install this skill
npx skills add wshobson/agentsWorks across Claude Code, Cursor, Codex, Copilot & Antigravity
Protocol reverse engineering identifies the structure and logic of communication protocols within network traffic. This skill focuses on capturing raw binary or text-based packets using tools like tcpdump and Wireshark, followed by structured extraction of fields, headers, and message types. By mapping magic bytes, length prefixes, and Type-Length-Value (TLV) patterns, you transform opaque hex dumps into documented definitions. Whether analyzing proprietary embedded systems, debugging custom API endpoints, or auditing encrypted traffic through TLS interception, this skill provides the necessary methods to decode protocol states. It replaces guesswork with systematic binary parsing and statistical analysis, enabling researchers to reconstruct how client and server components exchange data without relying on vendor documentation or source code access.
When to Use This Skill
- β’Developing interoperability drivers for undocumented hardware
- β’Security auditing of proprietary IoT communication protocols
- β’Analyzing custom application-layer traffic for vulnerability research
- β’Troubleshooting silent communication failures in legacy distributed systems
How to Invoke This Skill
Example prompts that trigger this skill in Claude Code, Cursor, or Antigravity:
- βHow can I identify the structure of this binary protocol?
- βWrite a python script to parse these captured pcap packets
- βWhat are the common header patterns for this network stream?
- βHelp me extract fields from this traffic capture
- βHow do I determine the message format of this proprietary protocol?
Pro Tips
- π‘Always start with a clear objective: what information are you trying to extract? This will guide your capture filters and analysis techniques.
- π‘Leverage `tshark` for automated, scriptable packet analysis on large datasets, integrating it into your CI/CD pipelines for continuous monitoring.
- π‘Combine traffic capture with dynamic analysis (e.g., process monitoring) to correlate network events with application behavior and system calls.
What this skill does
- β’Capturing raw network traffic via packet sniffers
- β’Identifying protocol signatures and binary header patterns
- β’Parsing custom binary structures using Python struct packing
- β’Intercepting and decrypting TLS-wrapped communication
- β’Extracting metadata and fields using command-line filters
When not to use it
- βWhen formal documentation or API schemas are available
- βWhen the traffic is end-to-end encrypted with perfect forward secrecy without a valid certificate for interception
Example workflow
- Capture live traffic from the target interface using tcpdump or Wireshark.
- Filter the stream to isolate the specific protocol exchange.
- Examine the hex dump to identify repeating headers, magic bytes, or length fields.
- Define a Python dataclass that maps the discovered binary structure.
- Implement a parser loop to iterate through the pcap file and validate your structure.
Prerequisites
- βBasic understanding of TCP/IP stack
- βFamiliarity with hex representation
- βFundamental Python scripting skills
Pitfalls & limitations
- !Assuming traffic is fixed-length when it uses dynamic TLV framing
- !Neglecting endianness differences between host and network byte orders
- !Failing to account for packet fragmentation or reassembly issues
FAQ
How it compares
While manual inspection relies on human visual recognition of patterns, this automated approach uses programmatic parsing, which ensures scalability and accuracy for massive traffic captures.
π Full skill instructions β original source: wshobson/agents
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... |
+--------+--------+--------+--------+## Binary Protocol Analysis
### Structure Identification
# Common patterns in binary protocols
# Length-prefixed message
struct Message {
uint32_t length; # Total message length
uint16_t msg_type; # Message type identifier
uint8_t flags; # Flags/options
uint8_t reserved; # Padding/alignment
uint8_t payload[]; # Variable-length payload
};
# Type-Length-Value (TLV)
struct TLV {
uint8_t type; # Field type
uint16_t length; # Field length
uint8_t value[]; # Field data
};
# Fixed header + variable payload
struct Packet {
uint8_t magic[4]; # "ABCD" signature
uint32_t version;
uint32_t payload_len;
uint32_t checksum; # CRC32 or similar
uint8_t payload[];
};### Python Protocol Parser
import struct
from dataclasses import dataclass
@dataclass
class MessageHeader:
magic: bytes
version: int
msg_type: int
length: int
@classmethod
def from_bytes(cls, data: bytes):
magic, version, msg_type, length = struct.unpack(
">4sHHI", data[:12]
)
return cls(magic, version, msg_type, length)
def parse_messages(data: bytes):
offset = 0
messages = []
while offset < len(data):
header = MessageHeader.from_bytes(data[offset:])
payload = data[offset+12:offset+12+header.length]
messages.append((header, payload))
offset += 12 + header.length
return messages
# Parse TLV structure
def parse_tlv(data: bytes):
fields = []
offset = 0
while offset < len(data):
field_type = data[offset]
length = struct.unpack(">H", data[offset+1:offset+3])[0]
value = data[offset+3:offset+3+length]
fields.append((field_type, value))
offset += 3 + length
return fields### Hex Dump Analysis
def hexdump(data: bytes, width: int = 16):
"""Format binary data as hex dump."""
lines = []
for i in range(0, len(data), width):
chunk = data[i:i+width]
hex_part = ' '.join(f'{b:02x}' for b in chunk)
ascii_part = ''.join(
chr(b) if 32 <= b < 127 else '.'
for b in chunk
)
lines.append(f'{i:08x} {hex_part:<{width*3}} {ascii_part}')
return '\n'.join(lines)
# Example output:
# 00000000 48 54 54 50 2f 31 2e 31 20 32 30 30 20 4f 4b 0d HTTP/1.1 200 OK.
# 00000010 0a 43 6f 6e 74 65 6e 74 2d 54 79 70 65 3a 20 74 .Content-Type: t## Encryption Analysis
### Identifying Encryption
# Entropy analysis - high entropy suggests encryption/compression
import math
from collections import Counter
def entropy(data: bytes) -> float:
if not data:
return 0.0
counter = Counter(data)
probs = [count / len(data) for count in counter.values()]
return -sum(p * math.log2(p) for p in probs)
# Entropy thresholds:
# < 6.0: Likely plaintext or structured data
# 6.0-7.5: Possibly compressed
# > 7.5: Likely encrypted or random
# Common encryption indicators
# - High, uniform entropy
# - No obvious structure or patterns
# - Length often multiple of block size (16 for AES)
# - Possible IV at start (16 bytes for AES-CBC)### TLS Analysis
# Extract TLS metadata
tshark -r capture.pcap -Y "ssl.handshake" \
-T fields -e ip.src -e ssl.handshake.ciphersuite
# JA3 fingerprinting (client)
tshark -r capture.pcap -Y "ssl.handshake.type == 1" \
-T fields -e ssl.handshake.ja3
# JA3S fingerprinting (server)
tshark -r capture.pcap -Y "ssl.handshake.type == 2" \
-T fields -e ssl.handshake.ja3s
# Certificate extraction
tshark -r capture.pcap -Y "ssl.handshake.certificate" \
-T fields -e x509sat.printableString### Decryption Approaches
# Pre-master secret log (browser)
export SSLKEYLOGFILE=/tmp/keys.log
# Configure Wireshark
# Edit > Preferences > Protocols > TLS
# (Pre)-Master-Secret log filename: /tmp/keys.log
# Decrypt with private key (if available)
# Only works for RSA key exchange
# Edit > Preferences > Protocols > TLS > RSA keys list## Custom Protocol Documentation
### Protocol Specification Template
# Protocol Name Specification
## Overview
Brief description of protocol purpose and design.
## Transport
- Layer: TCP/UDP
- Port: XXXX
- Encryption: TLS 1.2+
## Message Format
### Header (12 bytes)
| Offset | Size | Field | Description |
| ------ | ---- | ------- | ----------------------- |
| 0 | 4 | Magic | 0x50524F54 ("PROT") |
| 4 | 2 | Version | Protocol version (1) |
| 6 | 2 | Type | Message type identifier |
| 8 | 4 | Length | Payload length in bytes |
### Message Types
| Type | Name | Description |
| ---- | --------- | ---------------------- |
| 0x01 | HELLO | Connection initiation |
| 0x02 | HELLO_ACK | Connection accepted |
| 0x03 | DATA | Application data |
| 0x04 | CLOSE | Connection termination |
### Type 0x01: HELLO
| Offset | Size | Field | Description |
| ------ | ---- | ---------- | ------------------------ |
| 0 | 4 | ClientID | Unique client identifier |
| 4 | 2 | Flags | Connection flags |
| 6 | var | Extensions | TLV-encoded extensions |
## State Machine[INIT] --HELLO--> [WAIT_ACK] --HELLO_ACK--> [CONNECTED]
|
DATA/DATA
|
[CLOSED] <--CLOSE--+
## Examples
### Connection EstablishmentClient -> Server: HELLO (ClientID=0x12345678)
Server -> Client: HELLO_ACK (Status=OK)
Client -> Server: DATA (payload)
### Wireshark Dissector (Lua)
-- custom_protocol.lua
local proto = Proto("custom", "Custom Protocol")
-- Define fields
local f_magic = ProtoField.string("custom.magic", "Magic")
local f_version = ProtoField.uint16("custom.version", "Version")
local f_type = ProtoField.uint16("custom.type", "Type")
local f_length = ProtoField.uint32("custom.length", "Length")
local f_payload = ProtoField.bytes("custom.payload", "Payload")
proto.fields = { f_magic, f_version, f_type, f_length, f_payload }
-- Message type names
local msg_types = {
[0x01] = "HELLO",
[0x02] = "HELLO_ACK",
[0x03] = "DATA",
[0x04] = "CLOSE"
}
function proto.dissector(buffer, pinfo, tree)
pinfo.cols.protocol = "CUSTOM"
local subtree = tree:add(proto, buffer())
-- Parse header
subtree:add(f_magic, buffer(0, 4))
subtree:add(f_version, buffer(4, 2))
local msg_type = buffer(6, 2):uint()
subtree:add(f_type, buffer(6, 2)):append_text(
" (" .. (msg_types[msg_type] or "Unknown") .. ")"
)
local length = buffer(8, 4):uint()
subtree:add(f_length, buffer(8, 4))
if length > 0 then
subtree:add(f_payload, buffer(12, length))
end
end
-- Register for TCP port
local tcp_table = DissectorTable.get("tcp.port")
tcp_table:add(8888, proto)## 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
How to Use This Skill Unit
Option A: Project-Specific (Recommended)
- Click "Download" above
- In your project, create the directory:
.agent/skills/protocol-reverse-engineering/ - Save the file as
SKILL.md - The agent will automatically discover the skill based on its description.
Option B: Global Installation (All Agents)
Save the file to these locations to make it available across all projects:
- Claude Code:
~/.claude/skills/wshobson/agents/protocol-reverse-engineering/SKILL.md - Cursor:
~/.cursor/skills/wshobson/agents/protocol-reverse-engineering/SKILL.md - Antigravity:
~/.gemini/antigravity/skills/wshobson/agents/protocol-reverse-engineering/SKILL.md
π Install with CLI:npx skills add wshobson/agents
