Earlier last month Ripple20 became popular as it has listed some vulnerabilities found in a custom IP stack used by many IoT devices. Despite the hype on Ripple20, in essence the tool used to fingerprint vulnerable devices sends either malformed … Continue reading
Howto Identify and Block Telegram-based Botnets
Botnets are a popular way to run malware on a network using the command and control paradigm. Popular protocols used by botnets include IRC and HTTP. Most IDSs can detect bots as long as they can inspect the network traffic. … Continue reading
Why Traffic Behaviour Analysis is Good (was Encrypting TLS 1.3 Traffic)
In the latest nDPI meetup, we have discussed future directions, including extending the current encrypted traffic analysis features. Currently nDPI supports both fingerprint and behaviour encrypted traffic analysis techniques to provide TLS traffic visibility. At ntop we have never liked … Continue reading
How Lockdown Changed Corporate Internet Connectivity
Global lockdown has forced many people to work from remote: empty offices, all remote working until the emergency is over. In essence during the lockdown remote workers used very few corporate services via VPN, with relatively light traffic (e.g. … Continue reading
You’re invited to the future of nDPI: Python, Cybersecurity and Behaviour. May 15th, 4PM CET
Hi all, this is to invite you to an open discussion about nDPI, its future. In particular Python bindings, cybersecurity extensions and behaviour analysis. We will meet at 4PM CET (10AM EST) live on the Internet. For those who have … Continue reading
Trickbot Malware Analysis Using nDPI and ntopng
Trickbot is a malware distributed via malspam, spam emails containing links for downloading malicious files that infect computers. A pcap file of a trickbot infection named 2019-09-25-Trickbot-gtag-ono19-infection-traffic.pcap can be downloaded at this URL. You can analyse the file using nDPI … Continue reading
Towards Traffic Behaviour Analysis: Introducing nDPI 3.2
This is to announce the new stable release of nDPI 3.2. The main trend of nDPI is to move from “simple” application protocol detection towards behavioral traffic interpretation. This has been implemented with the integration of modules for detecting attacks … Continue reading
Effective TLS Fingerprinting Beyond JA3
JA3 is a popular method to fingerprint TLS connections used by many monitoring tools and IDSs. JA3 focuses on encryption options specified during TLS connection setup to fingerprint the encryption library used by the application. Image courtesy of Cisco So … Continue reading
Encrypted Traffic Analysis: A Primer
Monitoring encrypted traffic is must for providing visibility in modern traffic. Due to this we’ve put a lot of energy in extending nDPI so that it could be useful in this context. DPI (deep packet inspection) however is not enough … Continue reading
Rethinking Network Flow Visualisation
Traffic monitoring applications often aggregate traffic in flows, that in essence is a way to divide traffic according to a 5-tuple key (Protocol, IP/port source/destination). Flows are then aggregated for instance according to IP address or protocol, and often represented … Continue reading