Man-In-The-Middle and phishing attack tool that steals the victim's credentials of some web services like Facebook. Network traffic and protocol analyzer/sniffer - Qt GUI Network traffic and protocol analyzer/sniffer - CLI tools and data files Prints the IPs on your local network that're sending the most packets. TCP stream sniffer and connection tracker Intercept and decrypt all snapchats received over your network.Īll in one script for Man-In-The-Middle attacks.Ī tool to MITM all SSL connections on a LAN and dynamically generate certs for the domains that are being accessed on the flyĪ packet capture solution which aims to quickly spool all packets to disk, then provide simple, fast access to subsets of those packets. Modified version of the passing-the-hash tool collection made to work straight out of the box.Īutomates the task of sniffing GSM framesĬapture packets sent or received by iOS devices. It aims to be "Wireshark in Reverse" and thus become complementary to Wireshark.Ī network sniffer that logs all DNS server replies for use in a passive DNS setup.Ī tool designed for traffic manipulation and replay. #HTTP SNIFFER SCRIPT GENERATOR#Perform network trace of a single process by using network namespaces.Īn OpenFlow sniffer to help network troubleshooting in production networks.Īn open-source, cross-platform packet/traffic generator and analyzer with a friendly GUI. High performance Linux network sniffer for packet inspection Sniffs sensitive data from interface or pcap. Man on the Side Attack - experimental packet injection and detection. Utility that sniffs HTTP Basic Authentication information and prints the base64 decoded form.Ī python script for capturing unencrypted TSO login credentials.Ī man-in-the-middle and phishing attack tool that steals the victim's credentials of some web services like Facebook. Intercepts data, does something with it, stores it. Simple application that listens for WIFI-frames and records the mac-address of the sender and posts them to a REST-api. Tool to sniff HTTP responses from TCP/IP based networks and save contained files locally for later review. Network sniffer/interceptor/logger for ethernet LANs - consoleĪ traffic analyzer to evade Empire communication from Anomaly-Based IDS.Ī very versatile packet injector and sniffer that provides a command-line framework for raw network access.Ī specialized packet sniffer designed for displaying and logging HTTP traffic. This is a custom EIGRP packet generator and sniffer developed to test the security and overall operation quality of this brilliant Cisco routing protocol.Ī Network Packet and Traffic Interceptor For Linux. Network statistics gatherer (packet sniffer)Ĭollection of tools for network auditing and penetration testing Harvest FTP/POP/IMAP/HTTP/IRC credentials along with interesting data from each of the protocols. It is designed to complement tcpdump, which by itself has done a great job at capturing network traffic.Ĭapture all RabbitMQ messages being sent through a broker. Example Usage nmap -sL -script=targets-sniffer -script-args=newtargets,targets-sniffer.timeout=5s,targets-sniffer.Swiss army knife for network attacks and monitoringĪ simple yet powerful libpcap-based Ethernet packet generator. See the documentation for the target library. It includes logs, configurations, messages, traps and alerts, scripts. If true, add discovered targets to the scan queue. EffeDetect an HTTP packet sniffer, protocol analyzer and file reassembly software. The amount of time to listen for packets. Either the targets-sniffer.iface scriptĪrgument or -e Nmap option to define which interface to use. Newtargets script argument is set, discovered addresses Sniffs the local network for a configurable amount of time (10 secondsīy default) and prints discovered addresses. Script Arguments Example Usage Script Output Script targets-sniffer Sniffs the local network for a configurable amount of time (10 seconds by default) and prints discovered addresses.
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These files were generated using the DDI-Codebook standard, and were marked up using Nesstar Publisher.Īdditional codebook examples using ICPSR data are also available for review. This is the same codebook in machine-actionable DDI format (XML format). Here is an example of a readable codebook in PDF format. Tip: Don’t worry if you don’t currently have any DDI or structured metadata to work with, as there are a number of tools that you can use to extract file- and variable-level metadata (such as the variable names, labels, categories, values, frequency counts, etc.) found in your completed dataset. (See the DDI Glossary for more information about study-level and variable-level metadata.) Information can sometimes be provided by a researcher in a readme file (e.g., a text file), or be embedded in a datafile package (e.g., SPSS allows for column names / labels / missing values / notes), and so on. To create a codebook, information about the study, files, and variables must be known. 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