sslhaf
sslhaf is a Passive SSL client fingerprinting tool that utilizes handshake analysis to identify clients. The instructions for using sslhaf are included in the source code file mod_sslhaf.c.
FEATURES
ALTERNATIVES
A blog sharing packet capture files and malware samples for training and analysis, with archived posts and traffic analysis exercises.
Open source framework for network traffic analysis with advanced features.
A complete suite of tools for assessing WiFi network security with capabilities for monitoring, attacking, testing, and cracking.
PINNED
ImmuniWeb® Discovery
ImmuniWeb Discovery is an attack surface management platform that continuously monitors an organization's external digital assets for security vulnerabilities, misconfigurations, and threats across domains, applications, cloud resources, and the dark web.
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.
Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
Check Point CloudGuard WAF
A cloud-native web application and API security solution that uses contextual AI to protect against known and zero-day threats without signature-based detection.
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.
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.