Rule Based
Explore 6 curated cybersecurity tools, with 15,070 visitors searching for solutions
FEATURED
Cybercrime intelligence tools for searching compromised credentials from infostealers
Password manager with end-to-end encryption and identity protection features
VPN service providing encrypted internet connections and privacy protection
Fractional CISO services for B2B companies to build security programs
Get Featured
Feature your product and reach thousands of professionals.
qsfuzz is a rule-based fuzzing tool for testing query string parameters in web applications to identify security vulnerabilities.
qsfuzz is a rule-based fuzzing tool for testing query string parameters in web applications to identify security vulnerabilities.
A repository of YARA rules for identifying and classifying malware through pattern-based detection.
A repository of YARA rules for identifying and classifying malware through pattern-based detection.
NAXSI is a third-party nginx module that prevents XSS and SQL injection attacks by filtering HTTP traffic based on predefined security rules.
NAXSI is a third-party nginx module that prevents XSS and SQL injection attacks by filtering HTTP traffic based on predefined security rules.
AWS Web Application Firewalls (WAFs) are cloud-based security services that protect web applications and APIs from internet-based attacks through customizable filtering rules and centralized management capabilities.
AWS Web Application Firewalls (WAFs) are cloud-based security services that protect web applications and APIs from internet-based attacks through customizable filtering rules and centralized management capabilities.
A library for checking potentially malicious files and archives using YARA and making a decision about their harmfulness.
A library for checking potentially malicious files and archives using YARA and making a decision about their harmfulness.
YARA is a tool for identifying and classifying malware samples based on textual or binary patterns.
YARA is a tool for identifying and classifying malware samples based on textual or binary patterns.
