Ostinato is a network packet and traffic generator and analyzer with a friendly GUI. It aims to be "Wireshark in Reverse" and thus become complementary to Wireshark. It features custom packet crafting with editing of any field for several protocols: Ethernet, 802.3, LLC SNAP, VLAN (with Q-in-Q), ARP, IPv4, IPv6, IP-in-IP a.k.a IP Tunneling, TCP, UDP, ICMPv4, ICMPv6, IGMP, MLD, HTTP, SIP, RTSP, NNTP, etc. It is useful for both functional and performance testing.
RedWolf is a security threat simulator that tests security system effectiveness. Its threat generation capabilities include email, IM, malware, P2P, social networking, VoIP, DDoS, and many more. The guiding philosophy is that by generating realistic scenarios in a wide variety of categories, an auditor or organization can assess the effectiveness of network defenses. The scenario suite allows one to verify compliance with PCI-DSS, Sarbanes-Oxley, or HIPAA controls. RedWolf helps identify data loss risks and provides expert recommendations concerning risk mitigation. It reports present findings, recommendations, best practices, and blocking guidance in a straightforward, easily readable format. RedWolf also acts as a 'Red Team' agent, running drills to measure the readiness of your operations staff.
Nova is a software application for preventing and detecting hostile network reconnaissance (such as nmap scans). It does this by first creating the Haystack: a large collection of low interaction honeypots using an updated version of Honeyd. Finding real machines on the network becomes like finding a needle in a haystack of fake machines. Second, Nova uses machine learning algorithms to automatically detect and classify attempts at hostile reconnaissance, so there's no need to go searching manually through your honeypot's log files. It provides an easy to use Web-based interface powered by Node.js to configure itself and Honeyd instances.
GraphInsight is visualization software that lets you explore graph data through high quality interactive representations. Data exploration and knowledge extraction from graphs is of great interest nowadays: knowledge is disseminated in social networks, and services are powered by cloud computing platforms. Data miners deal with graphs every day. Humans are extremely good at identifying patterns and outliers. Interacting visually with your data can give you better intuition and higher confidence in what you are looking for.