Skip to content

⭐ ⭐ Distributed tcpdump for cloud native environments ⭐ ⭐

License

Notifications You must be signed in to change notification settings

Rashiiiiii/PacketStreamer

 
 

Repository files navigation

Documentation GitHub license GitHub stars Hacktoberfest GitHub issues Slack

PacketStreamer

Deepfence PacketStreamer is a high-performance remote packet capture and collection tool. It is used by Deepfence's ThreatStryker security observability platform to gather network traffic on demand from cloud workloads for forensic analysis.

Primary design goals:

  • Stay light, capture and stream, no additional processing
  • Portability, works across virtual machines, Kubernetes and AWS Fargate. Linux and Windows

PacketStreamer sensors are started on the target servers. Sensors capture traffic, apply filters, and then stream the traffic to a central reciever. Traffic streams may be compressed and/or encrypted using TLS.

The PacketStreamer receiver accepts PacketStreamer streams from multiple remote sensors, and writes the packets to a local pcap capture file

PacketStreamer sensors collect raw network packets on remote hosts. It selects packets to capture using a BPF filter, and forwards them to a central reciever process where they are written in pcap format. Sensors are very lightweight and impose little performance impact on the remote hosts. PacketStreamer sensors can be run on bare-metal servers, on Docker hosts, and on Kubernetes nodes.

The PacketStreamer receiver accepts network traffic from multiple sensors, collecting it into a single, central pcap file. You can then process the pcap file or live feed the traffic to the tooling of your choice, such as Zeek, Wireshark Suricata, or as a live stream for Machine Learning models.

When to use PacketStreamer

PacketStreamer meets more general use cases than existing alternatives. For example , Use PacketStreamer if you need a lightweight, efficient method to collect raw network data from multiple machines for central logging and analysis.

Quick Start

PacketStreamer QuickStart

For full instructions, refer to the PacketStreamer Documentation.

You will need to install the golang toolchain and libpcap-dev before building PacketStreamer.

# Pre-requisites (Ubuntu): sudo apt install golang-go libpcap-dev
git clone https://github.com/deepfence/PacketStreamer.git
cd PacketStreamer/
make

Run a PacketStreamer receiver, listening on port 8081 and writing pcap output to /tmp/dump_file (see receiver.yaml):

./packetstreamer receiver --config ./contrib/config/receiver.yaml

Run one or more PacketStreamer sensors on local and remote hosts. Edit the server address in sensor.yaml:

# run on the target hosts to capture and forward traffic

# copy and edit the sample sensor-local.yaml file, and add the address of the receiver host
cp ./contrib/config/sensor-local.yaml ./contrib/config/sensor.yaml

./packetstreamer sensor --config ./contrib/config/sensor.yaml

Who uses PacketStreamer?

  • Deepfence ThreatStryker uses PacketStreamer to capture traffic from production platforms for forensics and anomaly detection.

Get in touch

Thank you for using PacketStreamer.

  • Start with the documentation
  • Got a question, need some help? Find the Deepfence team on Slack
  • GitHub issues Got a feature request or found a bug? Raise an issue
  • productsecurity at deepfence dot io: Found a security issue? Share it in confidence
  • Find out more at deepfence.io

Security and Support

For any security-related issues in the PacketStreamer project, contact productsecurity at deepfence dot io.

Please file GitHub issues as needed, and join the Deepfence Community Slack channel.

License

The Deepfence PacketStreamer project (this repository) is offered under the Apache2 license.

Contributions to Deepfence PacketStreamer project are similarly accepted under the Apache2 license, as per GitHub's inbound=outbound policy.

About

⭐ ⭐ Distributed tcpdump for cloud native environments ⭐ ⭐

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Go 93.9%
  • Smarty 3.9%
  • Makefile 1.1%
  • Dockerfile 1.1%