CrowdSec

CrowdSec – Collaborative Intrusion Prevention for the Modern Internet What Is CrowdSec CrowdSec is an open-source, crowd-powered intrusion prevention system. Think of it as the spiritual successor to Fail2Ban — but with modern architecture, behavior-based detection, and a real-time threat-sharing network.

It monitors logs from services like SSH, NGINX, Apache, Postfix, and many others. When it sees suspicious activity — repeated login attempts, scans, abuse — it triggers local responses (firewa

OS: Linux / macOS
Size: 86 MB
Version: 1.5.4
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CrowdSec – Collaborative Intrusion Prevention for the Modern Internet

What Is CrowdSec

CrowdSec is an open-source, crowd-powered intrusion prevention system. Think of it as the spiritual successor to Fail2Ban — but with modern architecture, behavior-based detection, and a real-time threat-sharing network.

It monitors logs from services like SSH, NGINX, Apache, Postfix, and many others. When it sees suspicious activity — repeated login attempts, scans, abuse — it triggers local responses (firewall rules, bans, scripts). But here’s what makes it different: detected IPs can be shared (anonymously) with the global community, and users get access to a live reputation database updated by other CrowdSec users around the world.

It’s decentralized threat intelligence, baked directly into an IPS.

Key Capabilities

Feature Description
Detection Log-based behavioral analysis (parsers + scenarios)
Remediation Bouncer agents for firewalls, reverse proxies, cloud security groups
Threat Sharing Global IP reputation feed based on community-submitted signals
Extensibility YAML-based scenarios and parsers; plug-in support
Logs Supported SSH, NGINX, Apache, Postfix, MySQL, RDP, custom logs
Agents Lightweight daemon, multiserver-ready
Response Types Firewall drop, HTTP block page, rate-limit, custom hook scripts
Console/API Central web console + REST API
License MIT License (agent + bouncers)
Website https://crowdsec.net

How It Works on the Ground

CrowdSec has two parts: the agent, which watches logs and makes decisions, and bouncers, which enforce the decisions — by blocking IPs, throttling traffic, or sending alerts.

The agent uses parsers to normalize log lines, then runs them through scenario files — which are basically behavior patterns. If a match occurs (e.g. 5 failed SSH logins in 30 seconds), it generates a decision. That decision can then be enforced locally — and, if you opt in, shared with the wider network to improve everyone’s detection coverage.

The whole stack is modular. Use just the agent. Use just the bouncer. Build your own integrations. It’s up to you.

Situations Where It Shines

– Replacing or upgrading legacy Fail2Ban setups with more flexible logic
– Auto-blocking IPs based on multi-vector behavior across services
– Protecting exposed services (SSH, HTTP, SMTP) in cloud or on-prem
– Feeding blocklists into edge routers or CDN configurations
– Sharing and consuming global IP reputation without needing a SIEM

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