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Net::Analysis 0.04
Net::Analysis are modules for analysing network traffic. more>>
Net::Analysis are modules for analysing network traffic.
SYNOPSIS
Using an existing analyser:
$ perl -MNet::Analysis -e main help
$ perl -MNet::Analysis -e main TCP,v=1 dump.tcp - basic TCP info
$ perl -MNet::Analysis -e main HTTP,v=1 dump.tcp - HTTP stuff
$ perl -MNet::Analysis -e main Example2,regex=img dump.tcp - run an example
Writing your own analyser:
package MyExample;
use base qw(Net::Analysis::Listener::Base);
# Listen to events from other modules
sub tcp_monologue {
my ($self, $args) = @_;
my ($mono) = $args->{monologue};
my $t = $mono->t_elapsed()->as_number();
my $l = $mono->length();
# Emit your own event
$self->emit(name => example_event,
args => { kb_sec => ($t) ? $l/($t*1024) : N/A }
);
}
# Process your own event
sub example_event {
my ($self, $args) = @_;
printf "Bandwidth: %10.2f KB/secn", $args->{kb_sec};
}
1;
__top
ABSTRACT
Net::Analysis is a suite of modules that parse tcpdump files, reconstruct TCP sessions from the packets, and provide a very lightweight framework for writing protocol anaylsers.
__top
I wanted a batch version of Ethereal in Perl, so I could:
- sift through parsed protocols with structured filters
- write custom reports that mixed events from multiple protocols
So here it is. Net::Analysis is a stack of protocol handlers that emit, and listen for, events.
<<lessSYNOPSIS
Using an existing analyser:
$ perl -MNet::Analysis -e main help
$ perl -MNet::Analysis -e main TCP,v=1 dump.tcp - basic TCP info
$ perl -MNet::Analysis -e main HTTP,v=1 dump.tcp - HTTP stuff
$ perl -MNet::Analysis -e main Example2,regex=img dump.tcp - run an example
Writing your own analyser:
package MyExample;
use base qw(Net::Analysis::Listener::Base);
# Listen to events from other modules
sub tcp_monologue {
my ($self, $args) = @_;
my ($mono) = $args->{monologue};
my $t = $mono->t_elapsed()->as_number();
my $l = $mono->length();
# Emit your own event
$self->emit(name => example_event,
args => { kb_sec => ($t) ? $l/($t*1024) : N/A }
);
}
# Process your own event
sub example_event {
my ($self, $args) = @_;
printf "Bandwidth: %10.2f KB/secn", $args->{kb_sec};
}
1;
__top
ABSTRACT
Net::Analysis is a suite of modules that parse tcpdump files, reconstruct TCP sessions from the packets, and provide a very lightweight framework for writing protocol anaylsers.
__top
I wanted a batch version of Ethereal in Perl, so I could:
- sift through parsed protocols with structured filters
- write custom reports that mixed events from multiple protocols
So here it is. Net::Analysis is a stack of protocol handlers that emit, and listen for, events.
Download (0.30MB)
Added: 2006-07-27 License: Perl Artistic License Price:
1185 downloads
Directory Analysis Tool 0.0.2
Directory Analysis Tool is used to analyze LDAP directories and report on their contents. more>>
Directory Analysis Tool is used to analyze LDAP directories and report on their contents.
Useful if you want to find inactive accounts, people who havent changed passwords, or who has administrator privileges.
<<lessUseful if you want to find inactive accounts, people who havent changed passwords, or who has administrator privileges.
Download (MB)
Added: 2006-06-26 License: GPL (GNU General Public License) Price:
1219 downloads
Network Security Analysis Tool 1.5
Network Security Analysis Tool is a fast, stable bulk security scanner designed to audit remote network services. more>>
Network Security Analysis Tool is a fast, stable bulk security scanner designed to audit remote network services and check for versions, security problems, gather information about the servers and the machine, and much more.
A manpage providing extensive information on NSAT has been included in the distribution. It is available after a make install, or just by typing man doc/nsat.8 from this dir. It is suggested that you inform yourself at least about the -v (scan verbosity) option and edit the configuration file. To learn about changes in this version, please consult doc/CHANGES.
New to this version is support for distributed scanning. The manpage describes how to do a distributed scan. Note that distributed scanning in this version is just a preliminary, proof-of-concept, implementation with no guarantees for its security, reliability, or performance.
Check for updated vulnerability lists, config files, etc. from
http://nsat.sourceforge.net
Currently, these are lists of vulnerabilities:
nsat.cgi (CGI scripts)
nsat.conf (configuration)
src/mod/snmp.h (SNMP community names)
<<lessA manpage providing extensive information on NSAT has been included in the distribution. It is available after a make install, or just by typing man doc/nsat.8 from this dir. It is suggested that you inform yourself at least about the -v (scan verbosity) option and edit the configuration file. To learn about changes in this version, please consult doc/CHANGES.
New to this version is support for distributed scanning. The manpage describes how to do a distributed scan. Note that distributed scanning in this version is just a preliminary, proof-of-concept, implementation with no guarantees for its security, reliability, or performance.
Check for updated vulnerability lists, config files, etc. from
http://nsat.sourceforge.net
Currently, these are lists of vulnerabilities:
nsat.cgi (CGI scripts)
nsat.conf (configuration)
src/mod/snmp.h (SNMP community names)
Download (0.40MB)
Added: 2006-07-14 License: GPL (GNU General Public License) Price:
1204 downloads
Sequence Analysis 1.6.0
Sequence Analysis project is a collage of coding projects. more>>
Sequence Analysis project is a collage of coding projects which I have written over the past several years for various clients in my work as a bioinformatics consultant.
These clients have graciously allowed me to release these works into the public domain as freeware for Macintosh OS X in order to promote the platform and to encourage migration from Classic.
The upper window panel can hold several sequences, which are both editable and selectable. The tabs in the lower analysis panel try to keep up with the current sequence selection to provide immediate feedback. The selection is used in some modules as only the portion being analyzed for other modules i.e. Digest is used to determine if enzymes cut in the in or outside of the selection.
Most commonly available sequence formats have been reverse engineered. You can also access a sequences from the NCBI via its GID or UID. This currently cannot be done from behind a firewall.
Most of the analyses are simple enough that they are obvious to use, Composition, pI. Others could stand some documenation i.e. Pairwise and Primer Design. The Publish tab uses a string to control the layout. Click on the Legend button for some help.
<<lessThese clients have graciously allowed me to release these works into the public domain as freeware for Macintosh OS X in order to promote the platform and to encourage migration from Classic.
The upper window panel can hold several sequences, which are both editable and selectable. The tabs in the lower analysis panel try to keep up with the current sequence selection to provide immediate feedback. The selection is used in some modules as only the portion being analyzed for other modules i.e. Digest is used to determine if enzymes cut in the in or outside of the selection.
Most commonly available sequence formats have been reverse engineered. You can also access a sequences from the NCBI via its GID or UID. This currently cannot be done from behind a firewall.
Most of the analyses are simple enough that they are obvious to use, Composition, pI. Others could stand some documenation i.e. Pairwise and Primer Design. The Publish tab uses a string to control the layout. Click on the Legend button for some help.
Download (2.3MB)
Added: 2006-01-18 License: Freeware Price:
1377 downloads
Deep Network Analyser 1.5 GA
Deep Network Analyser is an open, flexible, and extensible deep network analyzer server. more>>
DNA (Deep Network Analyser) is an open, flexible, and extensible deep network analyzer server and software architecture for passively gathering and analyzing network packets, network sessions, and applications protocols.
Deep Network Analyser project is designed to be used for Internet security, network management, intrustion detection, protocol and network analysis, information gathering, and network monitoring applications.
Main features:
- Extensible Java based network sensor (processing layers 2-7)
Configurable processing and output:
- Packet flows like Ethereal
- IP Flows like CISCO netflow
- Stateful Sessions (client/server flow pairs)
- Application protocol element output
- Configurable and extensible application protocol element parsing.
- Application protocol parsing toolkit APIs allows for new protocol parser to be easily developed and extended
- Targeting based full session capture facility, like a realtime targeted TCPDump.
- Flexible targeting from IPAddr, Port tuple to Application sensitive targeting.
- Configurable and extensible output forwarding (file, DB, Streams, JMS, RMI, etc.)
- Extensible realtime collection portable to many OS/Packet processing environments
Easily adaptable to packet processing environments:
- Specialized linux drivers mechanismon
- Network Appliances
- Network Switches / Routers
- Highly mutithreaded for increased performance over multi processor environments
Enhancements:
- Adoption of OpenAdaptor(tm) as the Output Adapter mechanism.
- Support for local-only administration.
- A new targeted packet capture parser, new run scripts, and a new install mechanism.
- Many bugfixes.
<<lessDeep Network Analyser project is designed to be used for Internet security, network management, intrustion detection, protocol and network analysis, information gathering, and network monitoring applications.
Main features:
- Extensible Java based network sensor (processing layers 2-7)
Configurable processing and output:
- Packet flows like Ethereal
- IP Flows like CISCO netflow
- Stateful Sessions (client/server flow pairs)
- Application protocol element output
- Configurable and extensible application protocol element parsing.
- Application protocol parsing toolkit APIs allows for new protocol parser to be easily developed and extended
- Targeting based full session capture facility, like a realtime targeted TCPDump.
- Flexible targeting from IPAddr, Port tuple to Application sensitive targeting.
- Configurable and extensible output forwarding (file, DB, Streams, JMS, RMI, etc.)
- Extensible realtime collection portable to many OS/Packet processing environments
Easily adaptable to packet processing environments:
- Specialized linux drivers mechanismon
- Network Appliances
- Network Switches / Routers
- Highly mutithreaded for increased performance over multi processor environments
Enhancements:
- Adoption of OpenAdaptor(tm) as the Output Adapter mechanism.
- Support for local-only administration.
- A new targeted packet capture parser, new run scripts, and a new install mechanism.
- Many bugfixes.
Download (12.3MB)
Added: 2006-01-09 License: GPL (GNU General Public License) Price:
1391 downloads
Market Analysis System 1.6.6t3
Market Analysis System (MAS) is an open-source software application that provides tools for analysis of financial markets. more>>
Market Analysis System (MAS) is an open-source software application that provides tools for analysis of financial markets using technical analysis.
Market Analysis System provides facilities for stock charting and futures charting, including price, volume, and a wide range of technical analysis indicators. Market Analysis System also allows automated processing of market data - applying technical analysis indicators with user-selected criteria to market data to automatically generate trading signals - and can be used as the main component of a sophisticated trading system.
Main features:
- Includes basic technical analysis indicators, such as Simple Moving Average, Exponential Moving Average, Stochastic, MACD, RSI, On Balance Volume, and Momentum.
- Includes more advanced indicators, such as Standard Deviation, Slope of EMA of Volume, Slope of MACD Signal Line, Bollinger Bands, and Parabolic SAR.
- User can create new technical analysis indicators, including complex indicators based on existing indicators.
- User can configure criteria for automated trading-signal generation.
- Creation of weekly, monthly, quarterly, and yearly data from daily data.
- Handles intraday data.
- Handles stock and futures data.
- Accepts input data from files, from a database, or from the web. (Includes a configuration for obtaining end-of-day data from yahoo.com.)
- Can be configured and run as a server that provides services for several clients at a time running on remote machines.
<<lessMarket Analysis System provides facilities for stock charting and futures charting, including price, volume, and a wide range of technical analysis indicators. Market Analysis System also allows automated processing of market data - applying technical analysis indicators with user-selected criteria to market data to automatically generate trading signals - and can be used as the main component of a sophisticated trading system.
Main features:
- Includes basic technical analysis indicators, such as Simple Moving Average, Exponential Moving Average, Stochastic, MACD, RSI, On Balance Volume, and Momentum.
- Includes more advanced indicators, such as Standard Deviation, Slope of EMA of Volume, Slope of MACD Signal Line, Bollinger Bands, and Parabolic SAR.
- User can create new technical analysis indicators, including complex indicators based on existing indicators.
- User can configure criteria for automated trading-signal generation.
- Creation of weekly, monthly, quarterly, and yearly data from daily data.
- Handles intraday data.
- Handles stock and futures data.
- Accepts input data from files, from a database, or from the web. (Includes a configuration for obtaining end-of-day data from yahoo.com.)
- Can be configured and run as a server that provides services for several clients at a time running on remote machines.
Download (0.60MB)
Added: 2006-05-24 License: LGPL (GNU Lesser General Public License) Price:
1260 downloads
Statistical Traffic Analysis Kit 1.0b2
Statistical Traffic Analysis Kit is a set of command-line traffic analysis tools. more>>
Statistical Traffic Analysis Kit is a set of command-line traffic analysis tools, designed to help a network administrator to see what is happening at a router at the moment.
Unlike tcpdump (1), the stak set uses statistical and stream-oriented methods, and will rarely produce an output stream at a speed beyond human perception. The output is less accurate.
The kit consists of five different utilities, designed to perform the following tasks:
estimating overall traffic rates (stakrate),
determining network nodes generating the highest traffic (stakhosts)
monitoring the amount of traffic exchanged with particular autonomous
systems (stakasta),
extracting strings from packets (stakextract),
determining connections and flows generating the highest traffic
(stakstreams, experimental),
<<lessUnlike tcpdump (1), the stak set uses statistical and stream-oriented methods, and will rarely produce an output stream at a speed beyond human perception. The output is less accurate.
The kit consists of five different utilities, designed to perform the following tasks:
estimating overall traffic rates (stakrate),
determining network nodes generating the highest traffic (stakhosts)
monitoring the amount of traffic exchanged with particular autonomous
systems (stakasta),
extracting strings from packets (stakextract),
determining connections and flows generating the highest traffic
(stakstreams, experimental),
Download (0.068MB)
Added: 2006-06-29 License: GPL (GNU General Public License) Price:
1219 downloads
flowd 0.9
flowd application is a fast, small and secure NetFlow collector. more>>
flowd application is a fast, small and secure NetFlow collector.
Main features:
- Understands NetFlow protocol v.1, v.5, v.7 and v.9 (including IPv6 flows)
- Supports both IPv4 and IPv6 transport of flows
- Secure: flowd is privilege separated to limit the impact of any compromise
- Supports filtering and tagging of flows, using a packet filter-like syntax
- Stores recorded flow data in a compact binary format which supports run-time choice over which flow fields are stored
- Ships with both Perl and Python interfaces for reading and parsing the on-disk record format
- Is licensed under a liberal BSD-like license
- Supports reception of flow export datagrams sent to multicast groups (IPv4 and IPv6), thereby allowing the construction of redundant flow collector systems
flowd works with any standard NetFlow exporter, including hardware devices (e.g. routers) or software flow tracking agents, such as my own softflowd and pfflowd. Please refer to the README for more information.
The flowd daemon follows the Unix philosophy of "doing one thing well" - it doesnt try to do anything beyond accepting NetFlow packets and storing them in a standard format on disk. In particular, it does not include support for storing flows in multiple formats or performing data analysis. That sort of thing is left to external tools. The source distribution includes several example tools including a basic reporting script and one to store flows in a SQL database.
Enhancements:
- This release includes major improvements to performance and functionality.
- In particular, the flow format has been modified to store more information and be faster to read, input and output buffering has been improved, new flow filtering options have been added, and the Python API has been rewritten and extended to be many times faster.
<<lessMain features:
- Understands NetFlow protocol v.1, v.5, v.7 and v.9 (including IPv6 flows)
- Supports both IPv4 and IPv6 transport of flows
- Secure: flowd is privilege separated to limit the impact of any compromise
- Supports filtering and tagging of flows, using a packet filter-like syntax
- Stores recorded flow data in a compact binary format which supports run-time choice over which flow fields are stored
- Ships with both Perl and Python interfaces for reading and parsing the on-disk record format
- Is licensed under a liberal BSD-like license
- Supports reception of flow export datagrams sent to multicast groups (IPv4 and IPv6), thereby allowing the construction of redundant flow collector systems
flowd works with any standard NetFlow exporter, including hardware devices (e.g. routers) or software flow tracking agents, such as my own softflowd and pfflowd. Please refer to the README for more information.
The flowd daemon follows the Unix philosophy of "doing one thing well" - it doesnt try to do anything beyond accepting NetFlow packets and storing them in a standard format on disk. In particular, it does not include support for storing flows in multiple formats or performing data analysis. That sort of thing is left to external tools. The source distribution includes several example tools including a basic reporting script and one to store flows in a SQL database.
Enhancements:
- This release includes major improvements to performance and functionality.
- In particular, the flow format has been modified to store more information and be faster to read, input and output buffering has been improved, new flow filtering options have been added, and the Python API has been rewritten and extended to be many times faster.
Download (0.17MB)
Added: 2006-02-27 License: BSD License Price:
1337 downloads
FlowScan 1.006
FlowScan is a network analysis and reporting tool. more>>
FlowScan is a network analysis and reporting tool.[ COPYRIGHT=1]
Enhancements:
- The CampusIO and SubNetIO reports were enhanced with a new optional configuration directive: TopN. When defined, this directive causes ``Top Talker reports to be produced. These HTML reports contain the most active (i.e. ``top) source and destination addresses.
- The CampusIO and SubNetIO reports were enhanced to record the number of local IP addresses that where active for each network and subnet into the RRD files. This enables users to estimate the number of active hosts hosts over time, detect ``scans which systematically sweep across network address space, and to calculate the average bytes, packets, and flows per host.
- The template Makefile used to produce the graphs was enhanced to allow the inclusion of ``events in the graphs, similarly to what can be done with Cricket. This allows you to label events such as configuration changes and outages to discover correlations with traffic measurement.
- Two new utilities suitable for stand-alone use, are included. ip2hostname converts IP addresses to their respective hostnames. event2vrule adds ``events to rrdtool graphs.
- Added support for LFAP (Lightweight Flow Accouting Protocol) used by Riverstone and Enterasys (formerly Cabletron) routers. This currently requires slate (from http://www.nmops.org) and lfapd by Steven Premeau . lfapd produces time-stamped raw flow files in the same cflowd-defined format that is processed by FlowScan.
- Added the ability for the CampusIO report to identify outbound flows based solely on the flows destination IP address. While this is less trustworthy than using NextHops or OutputIfIndexes, it is now the default and will be useful for environments where the flow nexthop or output ifIndex values are not meaningful.
- The CampusIO report contains a new experimental feature which reads a BGP routing table, and therefore can determine which Autonomous systems source, transit, or sink most of your institutions traffic. The CampusIO report was enhanced with new optional configuration directives: BGPDumpFile, TopN, ReportPrefixFormat. When properly defined, these directives cause CampusIO to create tabular HTML reports named {origin|path}_{in|out}.html under OutputDir after analyzing each raw flow file. These reports show the ``top Autonomous Systems with which your site exchanges traffic.
- A WebProxyIfIndex directive was added to the CampusIO report. This allows one to specify the index of the interface to which HTTP traffic is being transparently redirected. This enables FlowScan to properly count HTTP flows even though NetFlow v5 does not accurately report the nexthop value for flows which are transparently redirected via a Cisco route-map.
- CampusIO now contains a fix for a bug introduced in FlowScan-1.005 which would sometimes cause perl to abort with this message: patricia.c:645: patricia_lookup: Assertion `prefix failed.
<<lessEnhancements:
- The CampusIO and SubNetIO reports were enhanced with a new optional configuration directive: TopN. When defined, this directive causes ``Top Talker reports to be produced. These HTML reports contain the most active (i.e. ``top) source and destination addresses.
- The CampusIO and SubNetIO reports were enhanced to record the number of local IP addresses that where active for each network and subnet into the RRD files. This enables users to estimate the number of active hosts hosts over time, detect ``scans which systematically sweep across network address space, and to calculate the average bytes, packets, and flows per host.
- The template Makefile used to produce the graphs was enhanced to allow the inclusion of ``events in the graphs, similarly to what can be done with Cricket. This allows you to label events such as configuration changes and outages to discover correlations with traffic measurement.
- Two new utilities suitable for stand-alone use, are included. ip2hostname converts IP addresses to their respective hostnames. event2vrule adds ``events to rrdtool graphs.
- Added support for LFAP (Lightweight Flow Accouting Protocol) used by Riverstone and Enterasys (formerly Cabletron) routers. This currently requires slate (from http://www.nmops.org) and lfapd by Steven Premeau . lfapd produces time-stamped raw flow files in the same cflowd-defined format that is processed by FlowScan.
- Added the ability for the CampusIO report to identify outbound flows based solely on the flows destination IP address. While this is less trustworthy than using NextHops or OutputIfIndexes, it is now the default and will be useful for environments where the flow nexthop or output ifIndex values are not meaningful.
- The CampusIO report contains a new experimental feature which reads a BGP routing table, and therefore can determine which Autonomous systems source, transit, or sink most of your institutions traffic. The CampusIO report was enhanced with new optional configuration directives: BGPDumpFile, TopN, ReportPrefixFormat. When properly defined, these directives cause CampusIO to create tabular HTML reports named {origin|path}_{in|out}.html under OutputDir after analyzing each raw flow file. These reports show the ``top Autonomous Systems with which your site exchanges traffic.
- A WebProxyIfIndex directive was added to the CampusIO report. This allows one to specify the index of the interface to which HTTP traffic is being transparently redirected. This enables FlowScan to properly count HTTP flows even though NetFlow v5 does not accurately report the nexthop value for flows which are transparently redirected via a Cisco route-map.
- CampusIO now contains a fix for a bug introduced in FlowScan-1.005 which would sometimes cause perl to abort with this message: patricia.c:645: patricia_lookup: Assertion `prefix failed.
Download (0.14MB)
Added: 2006-08-05 License: GPL (GNU General Public License) Price:
1179 downloads
DB based NetFlow Collector 1.0
DB based NetFLow Collector aims to collect Cisco NetFlow data and store it to a database. more>>
DB based NetFLow Collector aims to collect Cisco NetFlow data and store it to a database.
DB based NetFlow Collector has a plugin interface, which makes it flexible for fitting in particular tasks.
Enhancements:
- First release. post your comments/bug reports.
<<lessDB based NetFlow Collector has a plugin interface, which makes it flexible for fitting in particular tasks.
Enhancements:
- First release. post your comments/bug reports.
Download (0.47MB)
Added: 2006-06-19 License: GPL (GNU General Public License) Price:
1231 downloads
TA-Lib : Technical Analysis Library 0.3.0
TA-Lib provides common functions for the technical analysis of stock/future/commodity market data. more>>
TA-Lib provides common functions for the technical analysis of stock/future/commodity market data.
TA-Lib can be reused by trading software developers using Excel, .NET, Java, Perl or C/C++.
Main features:
- More than 120 technical analysis indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands etc...
- bullet Includes candlestick pattern recognition.
- bullet Optional abstract interface allowing your code to support new technical analysis functions without any code change!
Enhancements:
New Features
- New Functions: BETA, MINMAX, MINMAXINDEX, MININDEX, MAXINDEX
- Debian and RPM packaging available.
- Java JAR packaging available.
- New TA_FunctionDescription() returns XML description of API.
- New ta_func_api.xml file generated in root directory of the package.
- Support for unmanaged static libraries with Visual Studio 2005.
Fixes
- #1526632 : Fix bug in LINEARREG_ANGLE
- #1544555 : Now do proper divide by zero detection in TA_ADX
Other Changes
- Better Java/.NET naming convention.
- ta_func_list.txt moved in root directory of the package.
- Removed dependencies on trio and Mersenne Twister functions.
- Volume and Open Interest are now double instead of integers.
- Add license specific to Excel users.
<<lessTA-Lib can be reused by trading software developers using Excel, .NET, Java, Perl or C/C++.
Main features:
- More than 120 technical analysis indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands etc...
- bullet Includes candlestick pattern recognition.
- bullet Optional abstract interface allowing your code to support new technical analysis functions without any code change!
Enhancements:
New Features
- New Functions: BETA, MINMAX, MINMAXINDEX, MININDEX, MAXINDEX
- Debian and RPM packaging available.
- Java JAR packaging available.
- New TA_FunctionDescription() returns XML description of API.
- New ta_func_api.xml file generated in root directory of the package.
- Support for unmanaged static libraries with Visual Studio 2005.
Fixes
- #1526632 : Fix bug in LINEARREG_ANGLE
- #1544555 : Now do proper divide by zero detection in TA_ADX
Other Changes
- Better Java/.NET naming convention.
- ta_func_list.txt moved in root directory of the package.
- Removed dependencies on trio and Mersenne Twister functions.
- Volume and Open Interest are now double instead of integers.
- Add license specific to Excel users.
Download (3.8MB)
Added: 2007-01-31 License: BSD License Price:
1002 downloads
cflowd 2.0
cflowd is a flow analysis tool currently used for analyzing Ciscos NetFlow enabled switching method. more>>
cflowd is a flow analysis tool currently used for analyzing Ciscos NetFlow enabled switching method.
The current release (described below) includes the collections, storage, and basic analysis modules for cflowd and for arts++ libraries. This analysis package permits data collection and analysis by ISPs and network engineers in support of capacity planning, trends analysis, and characterization of workloads in a network service provider environment. Other areas where cflowd may prove useful are: tracking for Web hosting, accounting and billing, network planning and analysis, network monitoring, developing user profiles, data warehousing and mining, as well as security-related investigations.
cflowd is no longer supported by CAIDA. Instead, please consider the use of flow-tools, which will provide a toolset for working with NetFlow data. flow-tools can also be used (like cflowd) in conjunction with FlowScan, maintained by Dave Plonka at the University of Wisconsin, Madison.
<<lessThe current release (described below) includes the collections, storage, and basic analysis modules for cflowd and for arts++ libraries. This analysis package permits data collection and analysis by ISPs and network engineers in support of capacity planning, trends analysis, and characterization of workloads in a network service provider environment. Other areas where cflowd may prove useful are: tracking for Web hosting, accounting and billing, network planning and analysis, network monitoring, developing user profiles, data warehousing and mining, as well as security-related investigations.
cflowd is no longer supported by CAIDA. Instead, please consider the use of flow-tools, which will provide a toolset for working with NetFlow data. flow-tools can also be used (like cflowd) in conjunction with FlowScan, maintained by Dave Plonka at the University of Wisconsin, Madison.
Download (5.4MB)
Added: 2006-06-29 License: GPL (GNU General Public License) Price:
700 downloads
flow-tools 0.68
flow-tools is a set of programs for processing and managing NetFlow exports from Cisco and Juniper routers. more>>
flow-tools is a set of programs for processing and managing NetFlow exports from Cisco and Juniper routers. The tools included are: flow-capture, flow-cat, flow-dscan, flow-expire, flow-export, flow-fanout, flow-filter, flow-gen, flow-header, flow-import, flow-mask, flow-merge, flow-nfilter, flow-print, flow-receive, flow-report, flow-send, flow-split, flow-stat, flow-tag, and flow-xlate.
Flow data is collected and stored by default in host byte ordera nd the files are portable across every endian architectures.
Commands that utilize the network use a localip/remoteip/port designation for communication. "localip" is the IP address the host will use as a source for sending or bind to when receiving NetFlow PDUs (ie the destination address of the exporter. Configuring the "localip" to 0 will force the kernel to decide what IP address to use for sending and listen on all IP addresses for receiving. "remoteip" is the destination IP address used for sending or the expected address of the source when receiving. If the "remoteip" is 0 then the application will accept flows from any source address. The "port" is the UDP port number used for sending or receiving. When using multicast addresses the localip/remoteip/port is used to represent the source, group, and port respectively.
Flows are exported from a router in a number of different configurable versions. A flow is a collection of key fields and additional data. The flow key is {srcaddr, dstaddr, input, output, srcport, dstport, prot, ToS}. Flow-tools supports one export version per file.
Export versions 1, 5, 6, and 7 all maintain {nexthop, dPkts, dOctets, First, Last, flags}, ie the next-hop IP address, number of packets, number of octets (bytes), start time, end time, and flags such as the TCP header bits. Version 5 adds the additional fields {src_as, dst_as, src_mask, dst_mask}, ie source AS, destination AS, source network mask, and destination network mask. Version 7 which is specific to the Catalyst switches adds in addition to the version 5 fields {router_sc}, which is the Router IP address which populates the flow cache shortcut in the Supervisor. Version 6 which is not officially supported by Cisco adds in addition to the version 5 fields {in_encaps, out_encaps, peer_nexthop}, ie the input and output interface encapsulation size, and the IP address of the next hop within the peer. Version 1 exports do not contain a sequence number and therefore should be avoided, although it is safe to store the data as version 1 if the additional fields are not used.
Version 8 IOS NetFlow is a second level flow cache that reduces the data exported from the router. There are currently 11 formats, all of which provide {dFlows, dOctets, dPkts, First, Last} for the key fields.
8.1 - Source and Destination AS, Input and Output interface
8.2 - Protocol and Port
8.3 - Source Prefix and Input interface
8.4 - Destination Prefix and Output interface
8.5 - Source/Destination Prefix and Input/Output interface
8.9 - 8.1 + ToS
8.10 - 8.2 + ToS
8.11 - 8.3 + ToS
8.12 - 8.5 + ToS
8.13 - 8.2 + ToS
8.14 - 8.3 + ports + ToS
Version 8 CatIOS NetFlow appears to be a less fine grained first level flow cache.
8.6 - Destination IP, ToS, Marked ToS,
8.7 - Source/Destination IP, Input/Output interface, ToS, Marked ToS,
8.8 - Source/Destination IP, Source/Destination Port,
Input/Output interface, ToS, Marked ToS,
The following programs are included in the flow-tools distribution.
flow-capture - Collect, compress, store, and manage disk space for exported flows from a router.
flow-cat - Concatenate flow files. Typically flow files will contain a small window of 5 or 15 minutes of exports. Flow-cat can be used to append files for generating reports that span longer time periods.
flow-fanout - Replicate NetFlow datagrams to unicast or multicast destinations. Flow-fanout is used to facilitate multiple collectors attached to a single router.
flow-report - Generate reports for NetFlow data sets. Reports include source/destination IP pairs, source/destination AS, and top talkers. Over 50 reports are currently supported.
flow-tag - Tag flows based on IP address or AS #. Flow-tag is used to group flows by customer network. The tags can later be used with flow-fanout or flow-report to generate customer based traffic reports.
flow-filter - Filter flows based on any of the export fields. Flow-filter is used in-line with other programs to generate reports based on flows matching filter expressions.
flow-import - Import data from ASCII or cflowd format.
flow-export - Export data to ASCII or cflowd format.
flow-send - Send data over the network using the NetFlow protocol.
flow-receive - Receive exports using the NetFlow protocol without storing to disk like flow-capture.
flow-gen - Generate test data.
flow-dscan - Simple tool for detecting some types of network scanning and Denial of Service attacks.
flow-merge - Merge flow files in chronoligical order.
flow-xlate - Perform translations on some flow fields.
flow-expire - Expire flows using the same policy of flow-capture.
flow-header - Display meta information in flow file.
flow-split - Split flow files into smaller files based on size, time, or tags.
<<lessFlow data is collected and stored by default in host byte ordera nd the files are portable across every endian architectures.
Commands that utilize the network use a localip/remoteip/port designation for communication. "localip" is the IP address the host will use as a source for sending or bind to when receiving NetFlow PDUs (ie the destination address of the exporter. Configuring the "localip" to 0 will force the kernel to decide what IP address to use for sending and listen on all IP addresses for receiving. "remoteip" is the destination IP address used for sending or the expected address of the source when receiving. If the "remoteip" is 0 then the application will accept flows from any source address. The "port" is the UDP port number used for sending or receiving. When using multicast addresses the localip/remoteip/port is used to represent the source, group, and port respectively.
Flows are exported from a router in a number of different configurable versions. A flow is a collection of key fields and additional data. The flow key is {srcaddr, dstaddr, input, output, srcport, dstport, prot, ToS}. Flow-tools supports one export version per file.
Export versions 1, 5, 6, and 7 all maintain {nexthop, dPkts, dOctets, First, Last, flags}, ie the next-hop IP address, number of packets, number of octets (bytes), start time, end time, and flags such as the TCP header bits. Version 5 adds the additional fields {src_as, dst_as, src_mask, dst_mask}, ie source AS, destination AS, source network mask, and destination network mask. Version 7 which is specific to the Catalyst switches adds in addition to the version 5 fields {router_sc}, which is the Router IP address which populates the flow cache shortcut in the Supervisor. Version 6 which is not officially supported by Cisco adds in addition to the version 5 fields {in_encaps, out_encaps, peer_nexthop}, ie the input and output interface encapsulation size, and the IP address of the next hop within the peer. Version 1 exports do not contain a sequence number and therefore should be avoided, although it is safe to store the data as version 1 if the additional fields are not used.
Version 8 IOS NetFlow is a second level flow cache that reduces the data exported from the router. There are currently 11 formats, all of which provide {dFlows, dOctets, dPkts, First, Last} for the key fields.
8.1 - Source and Destination AS, Input and Output interface
8.2 - Protocol and Port
8.3 - Source Prefix and Input interface
8.4 - Destination Prefix and Output interface
8.5 - Source/Destination Prefix and Input/Output interface
8.9 - 8.1 + ToS
8.10 - 8.2 + ToS
8.11 - 8.3 + ToS
8.12 - 8.5 + ToS
8.13 - 8.2 + ToS
8.14 - 8.3 + ports + ToS
Version 8 CatIOS NetFlow appears to be a less fine grained first level flow cache.
8.6 - Destination IP, ToS, Marked ToS,
8.7 - Source/Destination IP, Input/Output interface, ToS, Marked ToS,
8.8 - Source/Destination IP, Source/Destination Port,
Input/Output interface, ToS, Marked ToS,
The following programs are included in the flow-tools distribution.
flow-capture - Collect, compress, store, and manage disk space for exported flows from a router.
flow-cat - Concatenate flow files. Typically flow files will contain a small window of 5 or 15 minutes of exports. Flow-cat can be used to append files for generating reports that span longer time periods.
flow-fanout - Replicate NetFlow datagrams to unicast or multicast destinations. Flow-fanout is used to facilitate multiple collectors attached to a single router.
flow-report - Generate reports for NetFlow data sets. Reports include source/destination IP pairs, source/destination AS, and top talkers. Over 50 reports are currently supported.
flow-tag - Tag flows based on IP address or AS #. Flow-tag is used to group flows by customer network. The tags can later be used with flow-fanout or flow-report to generate customer based traffic reports.
flow-filter - Filter flows based on any of the export fields. Flow-filter is used in-line with other programs to generate reports based on flows matching filter expressions.
flow-import - Import data from ASCII or cflowd format.
flow-export - Export data to ASCII or cflowd format.
flow-send - Send data over the network using the NetFlow protocol.
flow-receive - Receive exports using the NetFlow protocol without storing to disk like flow-capture.
flow-gen - Generate test data.
flow-dscan - Simple tool for detecting some types of network scanning and Denial of Service attacks.
flow-merge - Merge flow files in chronoligical order.
flow-xlate - Perform translations on some flow fields.
flow-expire - Expire flows using the same policy of flow-capture.
flow-header - Display meta information in flow file.
flow-split - Split flow files into smaller files based on size, time, or tags.
Download (0.96MB)
Added: 2006-06-22 License: BSD License Price:
1238 downloads
Plucene::Analysis::PorterStemFilter 1.25
Plucene::Analysis::PorterStemFilter - Porter stemming on the token stream. more>>
Plucene::Analysis::PorterStemFilter - Porter stemming on the token stream.
SYNOPSIS
# isa Plucene::Analysis:::TokenFilter
my $token = $porter_stem_filter->next;
This class transforms the token stream as per the Porter stemming algorithm.
Note: the input to the stemming filter must already be in lower case, so you will need to use LowerCaseFilter or LowerCaseTokenizer farther down the Tokenizer chain in order for this to work properly!
The Porter Stemmer implements Porter Algorithm for normalization of English words by stripping their extensions and is used to generalize the searches. For example, the Porter algorithm maps both search and searching (as well as searchnessing) to search such that a query for search will also match documents that contains the word searching.
Note that the Porter algorithm is specific to the English language and may give unpredictable results for other languages. Also, make sure to use the same analyzer during the indexing and the searching.
You can find more information on the Porter algorithm at www.tartarus.org/~martin/PorterStemmer.
A nice online demonstration of the Porter algorithm is available at www.scs.carleton.ca/~dquesnel/java/stuff/PorterApplet.html.
METHODS
next
my $token = $porter_stem_filter->next;
Returns the next input token, after being stemmed.
<<lessSYNOPSIS
# isa Plucene::Analysis:::TokenFilter
my $token = $porter_stem_filter->next;
This class transforms the token stream as per the Porter stemming algorithm.
Note: the input to the stemming filter must already be in lower case, so you will need to use LowerCaseFilter or LowerCaseTokenizer farther down the Tokenizer chain in order for this to work properly!
The Porter Stemmer implements Porter Algorithm for normalization of English words by stripping their extensions and is used to generalize the searches. For example, the Porter algorithm maps both search and searching (as well as searchnessing) to search such that a query for search will also match documents that contains the word searching.
Note that the Porter algorithm is specific to the English language and may give unpredictable results for other languages. Also, make sure to use the same analyzer during the indexing and the searching.
You can find more information on the Porter algorithm at www.tartarus.org/~martin/PorterStemmer.
A nice online demonstration of the Porter algorithm is available at www.scs.carleton.ca/~dquesnel/java/stuff/PorterApplet.html.
METHODS
next
my $token = $porter_stem_filter->next;
Returns the next input token, after being stemmed.
Download (0.32MB)
Added: 2007-06-11 License: Perl Artistic License Price:
865 downloads
glFlow 0.1.4
glFlow is a (D)DoS logger written with speed in mind. more>>
glFlow is a (D)DoS logger written with speed in mind. glFlow detects attacks on high speed links through real-time flow aggregation and analysis.
What do I run it on ?
It was written on FreeBSD and tested on both FreeBSD and Linux. It should work on any OS to which libpcap and OpenSSL were ported. The rest of the code is perfectly portable.
How does it work ?
Cisco Systems have defined the flow as a four value tuplet: {srcaddr, srcport, dstaddr, dstport}. The format evolved over time. The complete structures for various NetFlow versions are available on Ciscos site. Now, lets assume that the attacker floods the victim with packets that keep the same characteristics throughout the duration of the attack. No source spoof, no
source port increments or randomizations. That would lead to a very large packet rate inside that flow. glFlow calculates the average packet rate in every flow and raises an alarm signal if the threshold is hit.
What about spoofed attacks ? How are they detected ? Simple. glFlow keeps a history for every destination host that it sees. When a new flow is created, the flow counter for that host is incremented. The average number of newly created flows corresponding to a specific host in a specific amount of time is calculated, and, as above, an alarm is raised if the threshold is hit.
To prevent attacks that dont hit any of the above thresholds, theres
a new one starting with v0.1, measuring the packet rate for a destination.
Cant other tools, like SNORT, do this ?
We sincereley believe not. Remember, glFlow was written with high
speeds in mind. Weve been using it at over 500Mbps. At that speed, with an
ordinary x86 machine, even with a strong motherboard/NIC combination, you cant
do anything fancy. glFlow was specifically designed for detecting large floods
in real time, or at least something close to that.
How is it that its so fast ?
Well, Andrei did a great job implementing a very fast binary tree. That allowed us to drop the threaded model and choose a single loop design. The new results were stunning. The tests were made on a P4 Xeon/3 GHz, with an Intel GigE NIC. The average traffic rate was about 500Mbps, with an average packet rate of 100kpps. That lead to about 200k active flows. glFlow managed to clean the inactive ones in less than 0.3 seconds. There was no alarm raised
after more than 5 seconds of flooding. glFlow ate ~50% of the CPU, while consuming about 40MB of system memory.
How do I install and run it ?
Run ./configure --help. Youll see two adjustable knobs: --with-hash and --enable-debug. The first one permits you to switch between MD4 and MD5 summing of the flow and host structures kept in the memory. The second lets you run glflow in the foreground, printing some statistics on stdout.
The thresholds are harcoded in defs.h. You shouldnt have any trouble tweaking them. However, weve observed that the best results are obtained when using the same values for flow lifetime and the time between flow cleanups. And they shouldnt be much over 20. The smaller the tree is, the faster it will be cleaned.
Finally, edit your /etc/syslog.conf and write something like this: "local6.*< tabs >/var/log/something". Restart sys[k]logd afterwards.
Fire glFlow up, like this: "./glFlow < interface > < bpf filter >" and watch /var/log/something for changes. You may play with nmap or some DoS programs to test it. The IPs in the syslog will be shown as integers rather than in dotted notation. We decided to leave this job to the log analyzer.
Can it go even faster ?
Sure. There are a few methods which permit you to improve the packet capture. For more info read Luca Deris paper: http://luca.ntop.org/Ring.pdf
Enhancements:
- This is a bugfix release.
<<lessWhat do I run it on ?
It was written on FreeBSD and tested on both FreeBSD and Linux. It should work on any OS to which libpcap and OpenSSL were ported. The rest of the code is perfectly portable.
How does it work ?
Cisco Systems have defined the flow as a four value tuplet: {srcaddr, srcport, dstaddr, dstport}. The format evolved over time. The complete structures for various NetFlow versions are available on Ciscos site. Now, lets assume that the attacker floods the victim with packets that keep the same characteristics throughout the duration of the attack. No source spoof, no
source port increments or randomizations. That would lead to a very large packet rate inside that flow. glFlow calculates the average packet rate in every flow and raises an alarm signal if the threshold is hit.
What about spoofed attacks ? How are they detected ? Simple. glFlow keeps a history for every destination host that it sees. When a new flow is created, the flow counter for that host is incremented. The average number of newly created flows corresponding to a specific host in a specific amount of time is calculated, and, as above, an alarm is raised if the threshold is hit.
To prevent attacks that dont hit any of the above thresholds, theres
a new one starting with v0.1, measuring the packet rate for a destination.
Cant other tools, like SNORT, do this ?
We sincereley believe not. Remember, glFlow was written with high
speeds in mind. Weve been using it at over 500Mbps. At that speed, with an
ordinary x86 machine, even with a strong motherboard/NIC combination, you cant
do anything fancy. glFlow was specifically designed for detecting large floods
in real time, or at least something close to that.
How is it that its so fast ?
Well, Andrei did a great job implementing a very fast binary tree. That allowed us to drop the threaded model and choose a single loop design. The new results were stunning. The tests were made on a P4 Xeon/3 GHz, with an Intel GigE NIC. The average traffic rate was about 500Mbps, with an average packet rate of 100kpps. That lead to about 200k active flows. glFlow managed to clean the inactive ones in less than 0.3 seconds. There was no alarm raised
after more than 5 seconds of flooding. glFlow ate ~50% of the CPU, while consuming about 40MB of system memory.
How do I install and run it ?
Run ./configure --help. Youll see two adjustable knobs: --with-hash and --enable-debug. The first one permits you to switch between MD4 and MD5 summing of the flow and host structures kept in the memory. The second lets you run glflow in the foreground, printing some statistics on stdout.
The thresholds are harcoded in defs.h. You shouldnt have any trouble tweaking them. However, weve observed that the best results are obtained when using the same values for flow lifetime and the time between flow cleanups. And they shouldnt be much over 20. The smaller the tree is, the faster it will be cleaned.
Finally, edit your /etc/syslog.conf and write something like this: "local6.*< tabs >/var/log/something". Restart sys[k]logd afterwards.
Fire glFlow up, like this: "./glFlow < interface > < bpf filter >" and watch /var/log/something for changes. You may play with nmap or some DoS programs to test it. The IPs in the syslog will be shown as integers rather than in dotted notation. We decided to leave this job to the log analyzer.
Can it go even faster ?
Sure. There are a few methods which permit you to improve the packet capture. For more info read Luca Deris paper: http://luca.ntop.org/Ring.pdf
Enhancements:
- This is a bugfix release.
Download (0.10MB)
Added: 2006-12-05 License: GPL (GNU General Public License) Price:
1054 downloads
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