Network Miner

Network miner is a passive network sniffer that captures live packets and performs analysis on them to determine operating systems, sessions, hostnames, ports and more. It can automatically recognize and extract plain text data, images, files, credentials, and DNS information. It uses passive OS fingerprint databases from p0f, Ettercap, Satori and Fingerbank for identification. It can also read and parse network packet capture files offline. Network miner runs on windows, uses winpcap and is open source.

Network Miner – [sourceforge.net]

Features
NetworkMiner performs OS fingerprinting based on TCP SYN and SYN+ACK packet by using OS fingerprinting databases from p0f (by Michal Zalewski) and Ettercap (by Alberto Ornaghi and Marco Valleri). NetworkMiner can also perform OS fingerprinting based on DHCP packets (which usually are broadcast packets) by making use of the Satori (by Eric Kollmann) OS fingerprinting database from FingerBank. NetworkMiner also uses the MAC-vendor list from Nmap (by Fyodor).

NetworkMiner can extract files and certificates transferred over the network by parsing a PCAP file or by sniffing traffic directly from the network. This is a neat function that can be used to extract and save media files (such as audio or video files) which are streamed across a network. Supported protocols for file extraction are FTP, HTTP and SMB.

User credentials (usernames and passwords) for supported protocols are extracted by NetworkMiner and displayed under the “Credentials” tab. Please be considerate when displaying the contents of this tab to the public.

Another very useful feature is that the user can search sniffed or stored data for keywords. NetworkMiner allows the user to insert arbitrary string or byte-patterns that shall be searched for with the keyword search functionality.

Version 0.84 (and newer) of NetworkMiner support sniffing and parsing of WLAN (IEEE 802.11) traffic. NetworkMiner does however currently only support WiFi sniffing with AirPcap adapters.

A feature which is planned to be included in future versions of NetworkMiner is to use statistical methods to do protocol identification (protocol fingerprinting) of a TCP session or UDP data. This means that instead of looking at the port number to guess which protocol is used on top of the TCP/UDP packet NetworkMiner will identify the correct protocol based on the TCP/UDP packet content. This way NetworkMiner will be able to identify protocols even if the service is run on a non-standard port. Richard Bejtlich calls this type of functionality “Port Independent Protocol Identification” (PIPI).

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