TLS Fingerprinting is a technique that associates an application and/or TLS library with parameters extracted from a TLS ClientHello by using a database of curated fingerprints. It can be used to identify malware, vulnerable applications, and for general network visibility. This approach helps in understanding network traffic without compromising the security benefits of TLS.
FEATURES
SIMILAR TOOLS
A blog sharing packet capture files and malware samples for training and analysis, with archived posts and traffic analysis exercises.
A TCP-based traceroute implementation that bypasses firewall filters to trace the path to a destination.
A free, open-source network protocol analyzer for capturing and displaying packet-level data.
A Bluetooth 5 and 4.x sniffer using TI CC1352/CC26x2 hardware with advanced features and Python-based host-side software.
A suite for man in the middle attacks, featuring sniffing of live connections, content filtering, and protocol dissection.
Snort is an open source intrusion prevention system that uses rules to detect and prevent malicious network activity.
Tor Browser is a free and open-source software that allows users to browse the internet anonymously and privately.
NordVPN is a commercial VPN service that encrypts internet connections and hides IP addresses through a global network of servers, featuring integrated threat protection and multi-device support.
A userland implementation of the Network Block Device protocol that enables remote block device access over network connections for distributed storage and virtualization use cases.
PINNED

Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.

Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.

DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.