ty29 / joy

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

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        A package for capturing and analyzing network
     flow data and intraflow data, for network research,
          forensics, and security monitoring.

Overview

Joy is a BSD-licensed libpcap-based software package for extracting data features from live network traffic or packet capture (pcap) files, using a flow-oriented model similar to that of IPFIX or Netflow, and then representing these data features in JSON. It also contains analysis tools that can be applied to these data files. Joy can be used to explore data at scale, especially security and threat-relevant data.

JSON is used in order to make the output easily consumable by data analysis tools. While the JSON output files are somewhat verbose, they are reasonably small, and they respond well to compression.

Joy can be configured to obtain intraflow data, that is, data and information about events that occur within a network flow, including:

• the sequence of lengths and arrival times of IP packets, up to some configurable number of packets.

• the empirical probability distribution of the bytes within the data portion of a flow, and the entropy derived from that value,

• the sequence of lengths and arrival times of TLS records,

• other non-encrypted TLS data, such as the list of offered ciphersuites, the selected ciphersuite, the length of the clientKeyExchange field, and the server certificate strings,

• DNS names, addresses, and TTLs,

• HTTP header elements and the first eight bytes of the HTTP body, and

• the name of the process associated with the flow, for flows originate or terminate on the host on which pcap is running.

Joy is intended for use in security research, forensics, and for the monitoring of (small scale) networks to detect vulnerabilities, threats and other unauthorized or unwanted behavior. Researchers, administrators, penetration testers, and security operations teams can put this information to good use, for the protection of the networks being monitored, and in the case of vulnerabilities, for the benefit of the broader community through improved defensive posture. As with any network monitoring tool, Joy could potentially be misused; do not use it on any network of which you are not the owner or the administrator.

Flow, in positive psychology, is a state in which a person performing an activity is fully immersed in a feeling of energized focus, deep involvement, and joy. This second meaning inspired the choice of name for this software package.

Joy is alpha/beta software; we hope that you use it and benefit from it, but do understand that it is not suitable for production use.

Relation to Cisco ETA

Joy has helped support the research that paved the way for Cisco’s Encrypted Traffic Analytics (ETA), but it is not directly integrated into any of the Cisco products or services that implement ETA. The classifiers in Joy were trained on a small dataset several years ago, and do not represent the classification methods or performance of ETA. The intent of this feature is to allow network researchers to quickly train and deploy their own classifiers on a subset of the data features that Joy produces. For more information on training your own classifier, see saltUI/README or reach out to [email protected].

Credits

This package was written by David McGrew, Blake Anderson, Philip Perricone and Bill Hudson {mcgrew,blaander,phperric,bhudson}@cisco.com of Cisco Systems Advanced Security Research Group (ASRG) and Security and Trust Organization (STO).

Release 2.0

We are pleased to announce the 2.0 release of the package, which has these features:

• The JSON schema has been updated to be better organized, more readable, and more searchable (by putting searchable keywords as the JSON names),
• The new sleuth tool replaces query/joyq, and brings new functionality such as —fingerprint,
• Much improved documentation, which covers the joy and sleuth tools, examples, and the JSON schema (see using-joy)

We hope that you find it useful!

• the Joy Team

Quick Start

Joy has been successfully run and tested on Linux (Debian, Ubuntu, CentOS, and Raspbian), Mac OS X and Windows. The system has been built with gcc and GNU make, but it should work with other development environments as well.

Go to the Wiki for a guide on building: Build Instructions

License

See License of Joy

See Copying for licenses of external libraries