Roberto Perdisci
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Useful Public Resources
Networking and Network Security
IP to ASN Mapping (
http://www.team-cymru.org/Services/ip-to-asn.html
)
Peering DB (
http://www.peeringdb.com
)
AS topology maps (
http://irl.cs.ucla.edu/topology/
)
BGP Looking Glass (
http://bgp.he.net/AS2637
)
BGP Monitoring System (
http://bgpmon.netsec.colostate.edu/
)
DNS Root Zone DB (
http://www.iana.org/domains/root/db
)
DNS tools (
https://www.dns-oarc.net/oarc/tools
)
Internationalized Domain Name (IDN) Conversion Tool (
http://mct.verisign-grs.com
)
Passive DNS Replication (
http://www.bfk.de/bfk_dnslogger_en.html
)
Passive DNS DB (
http://xml.ssdsandbox.net/dnslookup-dnsdb/ns.cert.ee.
)
DNS-WhiteList Project (
http://www.dnswl.org/tech
)
Bots/Botnet Traking Statistics, and more... (
http://www.shadowserver.org
)
Zeus Botnet Tracker (
https://zeustracker.abuse.ch
)
Waledac Botnet Tracker (
http://www.sudosecure.net/waledac/
)
SpamTrackers Wiki (
http://www.spamtrackers.eu/wiki/index.php/Main_Page
)
URIBL Domain Black List (
http://www.uribl.com
)
Malware-related Domain Black List (
http://www.malwaredomains.com
)
Malware Distribution URLs Blacklist (
http://malwarepatrol.com/lists.shtml
)
IP Black Lists (
http://www.spamhaus.org/zen/
)
SORBS DNSBL (
http://www.us.sorbs.net
)
Spamhaus
Don't Route Or Peer
List (
http://www.spamhaus.org/drop/index.lasso
)
Large-Scale Network Statistics (
http://www.dshield.org
)
ZMap - Fast Internet-Wide Scanning (
https://zmap.io
)
Free TCP/IP Guide (
http://www.tcpipguide.com/free/index.htm
)
Free IP Geolocation (
http://www.hostip.info/dl/index.html
)
ARIN Whois Database (
https://www.arin.net/resources/whoisrws/whois_api.html
)
DNS Daily Changes (
http://www.dailychanges.com/
)
dpkt, packet manipulation for Python (
http://code.google.com/p/dpkt/
)
Scapy, packet manipulation library for Python (
http://www.secdev.org/projects/scapy/
)
Security Onion Linux distribution (
https://code.google.com/p/security-onion/
)
NIST Net, emulates performance dynamics in IP networks (
http://snad.ncsl.nist.gov/nistnet/
)
Top 100 Network Security Tools (
http://sectools.org/
)
Browser Security Handbook (
http://code.google.com/p/browsersec/wiki/Main
)
Network Traffic Datasets
DARPA Intrusion Detection Datasets (
http://www.ll.mit.edu/mission/communications/ist/corpora/ideval/data/index.html
)
Network Warfare Labeled Datasets (
http://www.westpoint.edu/crc/SitePages/DataSets.aspx
)
(
http://www.itoc.usma.edu/research/dataset/index.html
)
CAIDA Data (
http://www.caida.org/data/overview/
)
Publicly Available PCAPs (
http://sourceforge.net/apps/mediawiki/networkminer/index.php?title=Publicly_available_PCAP_files
)
Repository of malicious, suspicious, and benign packet captures (
https://www.openpacket.org/capture/list
)
LBNL/ICSI Enterprise Network Traffic Dataset (
http://www.icir.org/enterprise-tracing/Overview.html
)
2009-M57-Patents Enterprise Network Traffic Dataset (
http://digitalcorpora.org/corpora/scenarios/m57-patents-scenario
)
WisNet Traffic Datasets (
http://www.wisnet.seecs.nust.edu.pk/projects/ENS/DataSets.html
)
Internet Traffic Archive (
http://www.sigcomm.org/ITA/
)
RIPE Routing Information Service BGP Dataset (
http://www.ripe.net/projects/ris/rawdata.html
)
Route View Project (
http://www.routeviews.org
,
http://archive.routeviews.org
)
Malware Collection and Analysis
Multiple AV scanning (
http://www.virustotal.com
)
Cuckoo
Sandbox (
http://www.cuckoobox.org
)
Truman Sandnet (
http://www.secureworks.com/cyber-threat-intelligence/tools/truman/
)
Anubis
Malware Analysis (
http://anubis.iseclab.org
)
BitBlaze
Malware Analysisi (
https://aerie.cs.berkeley.edu/index.php
)
ThreatExpert
Malware Analysis (
http://www.threatexpert.com
)
SRI Honeynet/BotHunter Analysis Info (
http://www.cyber-ta.org/releases/malware-analysis/public/
)
Ether
: Malware Analysis via Hardware Virtualization Extensions (
http://ether.gtisc.gatech.edu/source.html
)
Wepawet
- Web threats analyzer (
http://wepawet.iseclab.org/
)
JSunpack
- JavaScript unpacker (
https://code.google.com/p/jsunpack-n/
)
Honeynet Project Malware Collection and Analysis tools (
http://www.honeynet.org/project
)
MWcollect (
http://www.mwcollect.org
)
OffensiveComputing Malware Dataset (
http://www.offensivecomputing.net
)
Malfease Project Malware Dataset (
http://malfease.oarci.net
)
Malware Hash Registry (
http://www.team-cymru.org/Services/MHR/
)
SRI Malware Threat Center (
http://mtc.sri.com
)
Clean-MX Malware URLs (
http://support.clean-mx.de/clean-mx/viruses.php
)
Binary Whitelisting by Shadowserver/NIST (
http://bin-test.shadowserver.org
)
Penetration Testing / Exploits / Forensics
BackTrack Linux, Penetration Testing distribution (
http://www.backtrack-linux.org/
)
SANS Investigate Forensic Toolkit (
http://computer-forensics.sans.org/community/downloads
)
REMnux: A Linux Distribution for Reverse-Engineering Malware (
http://zeltser.com/remnux/
)
SQLmap: automatic SQL injection and database takeover tool (
http://sqlmap.org
)
Metasploit (
http://www.metasploit.com
)
Packet Storm (
http://packetstormsecurity.org
)
Exploit Database (
http://www.exploit-db.com
)
Phrack Magazine (
http://www.phrack.org
)
Machine Learning
[Book] Hastie, Tibshirani, and Friedman.
The Elements of Statistical Learning
(
http://www-stat.stanford.edu/~tibs/ElemStatLearn/download.html
)
[Book] Jain and Dubes.
Algorithms for Clustering Data
(
http://www.cse.msu.edu/~jain/Clustering_Jain_Dubes.pdf
)
[Book] Anand Rajaraman and Jeff Ullman.
Mining of Massive Datasets
(
http://infolab.stanford.edu/~ullman/mmds.html
)
[Book] C. Manning, P. Raghavan, and H. Schutze.
Introduction to Information Retrieval
(
http://www-nlp.stanford.edu/IR-book/
)
[Book] M. Basseville and I. V. Nikiforov.
Detection of Abrupt Changes - Theory and Application
(
http://people.irisa.fr/Michele.Basseville/kniga/
)
UCI Dataset Repository (
http://archive.ics.uci.edu/ml/
)
UCI KDD Archive (
http://kdd.ics.uci.edu/
)
Google Books OCR dataset (
http://commondatastorage.googleapis.com/books/icdar2007/README.txt
)
IRST Language Modeling Toolkit (
http://hlt.fbk.eu/en/irstlm
)
SRI Language Modeling Toolkit (
http://www.speech.sri.com/projects/srilm/
)
GraphLab (
https://code.google.com/p/graphlabapi/
)
Scalable Machine Learning library based on Hadoop (
http://mahout.apache.org
)
StatLib Data and Software (
http://lib.stat.cmu.edu
)
Text Retrieval Datasets (
http://trec.nist.gov/data.html
)
Weka: Data Mining Software in Java (
http://www.cs.waikato.ac.nz/ml/weka/
)
Massive Online Analysis - Stream Data Mining (
http://moa.cms.waikato.ac.nz/
)
YALE/Rapid Miner (
http://sourceforge.net/projects/yale/
)
ELKI: Environment for Developing KDD-Applications Supported by Index-Structures (
http://elki.dbs.ifi.lmu.de/
)
Pattern Recognition Tools (
http://prtools.org
)
One-Class Classification (Data Descritpion) Tools (
http://www-ict.ewi.tudelft.nl/~davidt/dd_tools.html
)
Kernel Machines (
http://www.kernel-machines.org
)
LibSVM (
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
)
LibLinear (
http://www.csie.ntu.edu.tw/~cjlin/liblinear/
)
jLibSVM - More efficient Java implementation of LibSVM (
http://dev.davidsoergel.com/trac/jlibsvm/
)
SVM light (
http://svmlight.joachims.org
)
Google's Suite of Fast Incremental Algorithms for Machine Learning (SOFIA-ML) (
http://code.google.com/p/sofia-ml/
)
The R Project for Satatistical Computing (
http://www.r-project.org
)
R - Machine Learning packages (
http://cran.r-project.org/web/views/MachineLearning.html
)
R - Clustering packages(
http://cran.r-project.org/web/views/Cluster.html
)
KernLab: Kernel-based ML in R (
http://cran.r-project.org/web/packages/kernlab/index.html
)
rJava: R to Java interface (
http://www.rforge.net/rJava/
)
RWeka: R to Weka interface (
http://cran.r-project.org/web/packages/RWeka/index.html
)
SciKit-learn: Machine Learning in Python (
http://scikit-learn.org/stable/
)
MLPY: Python Machine Learning Library (
http://mlpy.sourceforge.net/
)
FST3: Feature Selection Toolbox (
http://fst.utia.cz
)
FASTLib: Fundamental Algorithmic and Statistical Tools Library (
http://www.cc.gatech.edu/~niche/cse6740/fastlib/FASTlib_Tutorial.html
)
MLPACK: Scalable Machine Learning Library (
http://mloss.org/software/view/152/
)
MLOSS: Machine Learning Open Souce Software (
http://mloss.org/software
)
CARP: Clustering Algorithms' Referee Package (
http://jmlr.csail.mit.edu/papers/v12/melnykov11a.html
)
MULAN: A Java Library for Multi-Label Learning (
http://jmlr.csail.mit.edu/papers/v12/tsoumakas11a.html
)
MALLET: MAchine Learning for LanguagE Toolkit (
http://mallet.cs.umass.edu
)
GRMM: GRaphical Models in MALLET (
http://mallet.cs.umass.edu/grmm/index.php
)
UIMA: Unstructured Information Management (
http://uima.apache.org
)
NLP: Stanford Natural Language Processing (
http://nlp.stanford.edu
)
NLTK: Natural Language Toolkit in Python (
http://nltk.org
)
Gensim: Topic Modeling in Python (
http://radimrehurek.com/gensim/
)
OpenCV : Open Source Computer Vision library (
http://opencv.willowgarage.com/wiki/
)
Gneric List of ML software (
http://directory.google.com/Top/Computers/Artificial_Intelligence/Machine_Learning/Software/
)
Distributed Data Mining Bibliography (
http://www.csee.umbc.edu/~hillol/DDMBIB/ddmbib_html/DDMBIB.htm
)
Gephi graph visualization and analysis (
http://gephi.org
)
SMILE, C++ Library for graphical Decision-Theoretic methods (
http://genie.sis.pitt.edu
)
Tesseract Optical Character Recognition (
https://code.google.com/p/tesseract-ocr/
)
Program Analysis, etc.
Program Dynamic Analysis (
http://valgrind.org
)
Code Static Analysis (
http://www.splint.org
)
Mozilla's standalone JavaScript engine (
https://developer.mozilla.org/en/SpiderMonkey
)
Google Chrome's standalone JavaScript engine (
http://code.google.com/p/v8/
)
Others
A complete list of online courses offered by Stanford and MIT (
http://www.class-central.com
)
Free online courses offered by several top universities (
https://www.coursera.org
)
Internet Archive Wayback Machine (
http://archive.org/web/web.php
)
Subpages
(1):
DIG info