Efficient, extensible, out-of-the-box PCAP analysis library — extract flow-level features and multi-layer protocol fields from network traffic captures
Project description
wa1kpcap
Efficient, extensible, out-of-the-box PCAP analysis library for Python. Extracts multi-level flow features and protocol fields across all layers from network traffic captures, powered by a C++ engine.
Installation
pip install wa1kpcap
Optional dependencies:
pip install wa1kpcap[export] # pandas DataFrame export
pip install wa1kpcap[crypto] # TLS certificate parsing
pip install wa1kpcap[dev] # development (pytest, scapy, etc.)
Quick Start
from wa1kpcap import Wa1kPcap
analyzer = Wa1kPcap()
flows = analyzer.analyze_file('traffic.pcap')
for flow in flows:
print(f"{flow.key} packets={flow.packet_count} duration={flow.duration:.3f}s")
Supported Protocols
| Layer | Protocols |
|---|---|
| Link | Ethernet, VLAN (802.1Q), Linux SLL/SLL2, Raw IP, BSD Loopback, NFLOG |
| Network | IPv4, IPv6, ARP, ICMP, ICMPv6 |
| Tunnel | GRE, VXLAN, MPLS |
| Transport | TCP, UDP |
| Application | TLS (SNI/ALPN/certs), DNS, HTTP, DHCP, DHCPv6, QUIC (Initial decryption, SNI/ALPN) |
All protocols have C++ fast-path implementations. Tunnel protocols (GRE, VXLAN, MPLS) support recursive inner-packet dispatch.
Features
- Fast C++ native parsing engine with Python API
- Flow-level feature extraction with signed directional packet lengths
- 8 sequence features per flow: packet_lengths, ip_lengths, trans_lengths, app_lengths, timestamps, iats, tcp_flags, tcp_window_sizes
- Statistical aggregation: mean, std, var, min, max, range, median, skew, kurt, cv, plus up/down directional breakdowns
- Multi-layer protocol field extraction from link layer to application layer
- BPF filter with protocol-aware keywords (dhcp, dhcpv6, vlan, gre, vxlan, mpls)
- Cross-packet reassembly: IP fragments, TCP streams, TLS records, QUIC CRYPTO frames
- Export to DataFrame, CSV, JSON
- Custom incremental feature registration
- YAML-based protocol extension for adding new protocols without C++ code
Documentation
For detailed usage, API reference, and examples, see docs/README.md.
Roadmap
- More protocol support (QUIC 0-RTT/Handshake, HTTP/3, SSH, SMTP, SIP, etc.)
- Field masking in raw bytes (zero/random/fixed value) to prevent model overfitting on specific fields
- CLI tool for quick pcap inspection
- Multi-process parallel parsing for large captures
Test Coverage
License
MIT License
Author
1in_js
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