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Pesonal fork of torflow - Python tools for measuring a Tor network
License: Other
This project forked from donnchac/torflow
Pesonal fork of torflow - Python tools for measuring a Tor network
License: Other
TorFlow TorFlow is a set of python scripts written to scan the Tor network for misbehaving, misconfigured, and overloaded Tor nodes. The ultimate goal is to build an automated, distributed reputation system that feeds into the directory servers and provides them with information on the reliability, capacity, and trustworthiness of routers, so that they can set flags that clients can use in routing decisions. This is admittedly a lofty goal. In the meantime it should be able to figure out a bunch of neat stuff about Tor. TorFlow consists of the following components: 1. TorCtl package TorCtl is an updated version of the python Tor controller written by Nick Mathewson with extensions to support path building and various constraints on node and path selection. The basic structure is that the EventHandler class in TorCtl.py receives Tor controller events packaged into python classes. PathSupport.py provides a PathBuilder class that extends from EventHandler that handles circuit construction and stream attachment subject to policies defined by NodeRestrictor and PathRestrictor implementations. StatsSupport.py gathers statistics on the circuits and streams built by PathSupport. The TorCtl package is now fully pydoced. From this directory, you can do: # pydoc TorCtl.TorCtl and # pydoc TorCtl.PathSupport and # pydoc TorCtl.StatsSupport 2. metatroller.py Metatroller is a wrapper around StatsSupport that provides a meta-control port for use by Tor scanners. The metatroller is also pydoced. To view the documentation, you can do: # pydoc metatroller 3. Network Scanners 3a. NetworkScanners/soat.py SoaT provides tests for ensuring the honesty of exit nodes. It can check for invalid exit policies and perform tests to see whether nodes are changing the requested content for several protocols. See the soat README for details: # cd NetworkScanners ; cat ExitAuthority/README.ExitScanning Important note: soat requires the pyopenssl python module to run. You can check if pyopenssl package is available for your distribution (python-pyopenssl for debian/ubuntu, pyOpenSSL for fedora etc) or get it from http://pyopenssl.sourceforge.net/ 3b. NetworkScanners/speedracer.py SpeedRacer fetches a file repeatedly through circuits built by metatroller. It divides the Tor network into tiers based on percentiles of directory-reported node bandwidth and compiles statistics for each of these tiers itself and via metatroller. A README for gathering performance metrics with speedracer can be found in README.PerfMeasurements. 4. Circuit Analysis 4a. Build Time Anlysis The set of scripts under CircuitAnalysis/BuildTimes gathers and plots circuit construction times and fits a pareto curve to the results. A README for gathering performance metrics with buildtimes can be found in README.PerfMeasurements. 4b. OP Addon In CircuitAnalysis/OPAddon is a utility designed to run along side a Tor client to build a map of latencies between nodes on the network, and to then use this map for future routing decisions. See CircuitAnalysis/OPAddon/README for more info. 5. Node Monitors 6a. NodeMonitors/nodemon.py Nodemon uses TorCtl to monitor ORCONN events on a Tor node to measure how much bandwidth is going to each peer node. It also measures how many circuits are killed by OR connections being shut down prematurely. 6b. NodeMonitors/moniTor.py This is a "top-like" interface for Tor information It's goal at the start is to just tell you basic information In the future, you may be able to control Tor with it. Each of these components has a lot of room for improvement. Please see the TODO file for more information.
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