Showing 3 open source projects for "*fuzzy"

View related business solutions
  • Full-stack observability with actually useful AI | Grafana Cloud Icon
    Full-stack observability with actually useful AI | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
    Create free account
  • 8 Monitoring Tools in One APM. Install in 5 Minutes. Icon
    8 Monitoring Tools in One APM. Install in 5 Minutes.

    Errors, performance, logs, uptime, hosts, anomalies, dashboards, and check-ins. One interface.

    AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
    Start Free
  • 1
    OpenWAF

    OpenWAF

    Web security protection system based on openresty

    The first all-round open source Web security protection system, more protection than others. OpenWAF is the first fully open source Web application protection system (WAF), based on nginx_lua API analysis of HTTP request information. OpenWAF is composed of two functional engines: behavior analysis engine and rule engine. The rule engine mainly analyzes the individual requests, and the behavior analysis engine is mainly responsible for the tracking of the request information. Rule engine...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    American Fuzzy Lop

    American Fuzzy Lop

    American fuzzy lop - a security-oriented fuzzer

    AFL (American Fuzzy Lop) is a widely used graybox fuzzer that discovers bugs by mutating inputs and steering execution using lightweight instrumentation. Instead of random mutations alone, it uses coverage feedback to evolve input corpora, pushing programs into deeper and more interesting code paths. Its workflow emphasizes quick start: point it at a target binary with compile-time instrumentation (or use QEMU-based mode when recompilation isn’t possible), seed it with a small corpus, and let it iterate. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 3
    Recursive computing and matching of Context Triggered Piecewise Hashing (aka Fuzzy Hashing). Supports Windows, *nix, BSD, OS X, etc.
    Downloads: 6 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB