Leave a fake door unlocked and see who walks through: Krawl is a self-hosted honeypot that poses as a sloppy web server and records everything scanners and scrapers try. Fake WordPress, phpMyAdmin, and admin logins. Every attempt logged, every credential captured. A .env file leaking fake database strings, AWS keys, and Stripe secrets. SQL injection, XSS, path traversal, XXE, and command injection traps that answer with believable fake output. SQLMap gets a different database error on every request. Malicious crawlers wander an endless maze of random links. An optional tarpit adds delay and word salad that cost scrapers time, storage, and tokens. Optional AI-generated pages write a plausible decoy for any path an attacker requests. A hidden dashboard shows an attacker map, top IPs, captured credentials, and per-IP forensics. TLSH fuzzy hashing groups webshell variants into campaigns. A behavior score labels each IP attacker, bad crawler, good crawler, or regular user. Export bans as raw lists, iptables, or nftables rules, with guides for Fail2Ban, OPNsense, and RouterOS. A canary-token link in decoy pages emails you the IP and user agent of anyone who follows it. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 14,000 GitHub stars and a growing global network of security deployments, CrowdSec turns every attack on any participating server into protection for the entire community. The security engine operates as a combined IDS/IPS and WAF, analyzing log sources from Nginx, Apache, SSH, WordPress, and over 50 other services to detect brute force attacks, port scans, web vulnerability exploitation, and credential stuffing in real time. When one server detects a new threat, the attacker's IP is shared through the community blocklist, proactively protecting thousands of other installations before the attacker can reach them. The built-in WAF powered by Coraza v3 inspects HTTP requests at the application layer, validates against OpenAPI schemas, and applies custom rules with flexible AND/OR condition mixing for precise threat detection. Bot detection serves challenge pages with client fingerprinting to distinguish legitimate traffic from automated scrapers and scanners. Remediation components block malicious IPs at multiple infrastructure layers including iptables, nftables, Nginx, HAProxy, Cloudflare, and AWS Security Groups through the detect-here-remedy-there architecture. The scenario-based detection system ships with default rules for common attack patterns and supports custom scenarios written in YAML with an expressive filter language. A centralized console provides real-time visualization of alerts, threat intelligence analysis, and management of multiple distributed security engines. GDPR compliant by design, all log analysis happens locally and raw logs never leave your infrastructure. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

CrowdSec Web UI provides a centralized web console for monitoring intrusion detection telemetry, managing firewall remediation decisions, and auditing security events across multiple CrowdSec security engines. Administrators can connect several CrowdSec Local API endpoints simultaneously, aggregating threat intelligence and active bans into a unified visual interface. The dashboard displays geographic origins of attacking IP addresses, active remediation durations, and specific scenario triggers such as brute-force authentication attacks or web vulnerability probes. Operators can search through historical alert logs, inspect raw HTTP request details, and drill down into individual IP behaviors to differentiate authentic threats from false positives. Manual intervention tools let security teams enforce custom IP bans, adjust expiration timers, or immediately revoke erroneous bans across all connected bouncers with a single click. Integrated notification pipelines dispatch real-time security alerts to external destinations including ntfy, Gotify, and MQTT message brokers whenever critical thresholds are breached. Built-in Prometheus metrics dashboards visualize processing latencies, parser throughput, and decision counts over customizable time windows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Protecting over 10,000 organizations worldwide with 16,000+ GitHub stars, Wazuh delivers enterprise-grade security operations through a fully open-source platform with zero feature gating. The unified XDR and SIEM solution deploys lightweight agents across Linux, Windows, macOS, Solaris, AIX, and HP-UX endpoints that stream security telemetry to a centralized cluster built on OpenSearch for indexing and the Wazuh Dashboard for visualization and management. Core capabilities include real-time file integrity monitoring with inotify-based detection and who-data attribution, automated vulnerability assessment that correlates software inventories against continuously updated CVE databases, Security Configuration Assessment against CIS benchmarks, rootkit detection, and log data analysis with a rules engine supporting over 3,000 built-in detection rules mapped to MITRE ATT&CK tactics and techniques. Wazuh monitors cloud infrastructure at the API level with native modules for AWS, Azure, and Google Cloud, detects container anomalies through Docker engine integration, and ingests third-party telemetry via syslog and REST APIs from sources like VirusTotal, TheHive, YARA, Suricata, and PagerDuty. Pre-built compliance dashboards and reports cover PCI DSS, HIPAA, NIST 800-53, GDPR, and TSC frameworks. Active response capabilities automatically trigger countermeasures including firewall rule updates, account lockouts, and endpoint isolation when threats are detected. The platform scales horizontally with multi-node clustering for high availability. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

AiSOC delivers an open-source AI Security Operations Center that unifies event ingestion, graph correlation, autonomous triage, and purple-team adversary emulation into a single self-hosted console. Security analysts triage alerts across an interactive Investigation Rail that visualizes six-event attack timelines, pivot-path entity graphs, and recommended containment steps. The underlying LangGraph agentic engine reasons over ingested telemetry, querying MITRE ATT&CK frameworks, CISA Known Exploited Vulnerabilities catalogs, and Shodan intelligence while recording every prompt, tool execution, and evidentiary citation in an immutable Investigation Ledger. Incident responders execute automated containment playbooks, including host network isolation, credential revocation in identity providers, and firewall blocklist updates with human-in-the-loop sign-offs. Threat hunters input plain-English hypotheses into the natural-language hunt workbench to generate and execute ES|QL, SPL, and KQL queries against historical telemetry stores. Platform operators connect over seventy vendor connectors spanning CrowdStrike, SentinelOne, Microsoft Defender, AWS Security Hub, Okta, and Cloudflare to normalize streaming events into Open Cybersecurity Schema Framework standards. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PRISM consolidates passive reconnaissance, credential leak detection, and network asset mapping into a unified operational dashboard to replace fragmented command-line security tools. Analysts can launch simultaneous multi-source investigations against domains, internet protocol addresses, email mailboxes, phone numbers, and online handles to uncover domain registrations, open network ports, cryptographic certificates, and historical web archives. The platform interrogates threat feeds and leak repositories to expose credential leaks, dark web mirrors, and email routing anomalies with automated SMTP mailbox verification. Cross-platform identity engines crawl thousands of social networks and public registries to correlate aliases, discover leaked commit identities, and trace digital footprints across the web. Discovered assets render into interactive entity relationship graphs alongside geographic internet protocol maps to help investigators visualize infrastructure clusters and ownership links. An automated operational security calculator evaluates exposure vulnerabilities across identity, web, and infrastructure vectors, producing an aggregated risk score with granular hardening recommendations. Scheduled watchlists continually monitor target infrastructure, dispatching webhook notifications to chat channels whenever new subdomains, ports, or credential leaks appear. Investigators can export comprehensive audit dossiers as self-contained HTML files, styled PDF documents, or structured spreadsheets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

SpiderFoot is an open-source OSINT automation platform, replacing hours of manual reconnaissance with automated intelligence gathering across more than 200 data collection modules. The platform accepts ten distinct target types including IP addresses, domains, hostnames, network subnets, ASNs, email addresses, phone numbers, usernames, person names, and Bitcoin addresses, then feeds them through a publisher-subscriber event bus where each module's findings trigger downstream analysis automatically. SpiderFoot queries Shodan, VirusTotal, HaveIBeenPwned, AlienVault OTX, Censys, crt.sh, WHOIS databases, social media platforms, breach databases, and dozens more sources, with most modules requiring no API keys and many offering free tiers for those that do. The YAML-configurable correlation engine applies 37 pre-defined rules to identify relationships between discovered data points, flagging patterns like shared infrastructure, credential exposure, and domain reputation anomalies. Results export in CSV, JSON, and GEXF graph formats for integration with external analysis tools. TOR integration enables dark web searching, and SpiderFoot can invoke external tools including DNSTwist, Whatweb, Nmap, and CMSeeK for deeper technical assessment. The embedded web server delivers an intuitive dashboard for scan management, data visualization, and result exploration alongside a full command-line interface for scripted automation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Flowsint turns scattered OSINT leads, like a domain, a username, an email, or a crypto wallet, into one interactive graph that you expand with a right click. Drop an entity on the canvas, run an enricher, and the results appear as new nodes with their relationships already drawn in. Over 30 built-in enrichers cover subdomain discovery, WHOIS and historical records, DNS and ASN lookups, IP geolocation, username searches with Maigret and Sherlock, breach checks for emails and phone numbers, Gravatar profiles, website crawling for contacts and tracking codes, and Ethereum wallet transactions and NFT transfers. Chain enrichers into flows so each output feeds the next step, then replay the same flow on any entity of that type. Missing a source? Write an enricher template in YAML, or describe the API in plain language and let the built-in AI draft it, with API keys kept in an encrypted vault instead of config files. Custom entity types, aliases, tags, JSON import and export, and basic role-based access control make it workable for small teams, and an n8n connector pipes findings into alerts and reports. Double-click the canvas to add items fast, or alt-drag between nodes to link them. Every graph stays on your own server, and no default accounts exist. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Trusted by over 60,000 organizations worldwide with more than 8,100 GitHub stars since 2010, Graylog has established itself as one of the fastest paths from raw log data to operational visibility, delivering centralized log management, security analytics, and compliance auditing through a purpose-built web interface with sub-second search at scale. The platform ingests logs from virtually any source via syslog, GELF, Beats, raw TCP/UDP, HTTP, CEF, IPFIX, and Netflow protocols, processing each message through configurable pipelines that parse fields, apply transformations, enrich events with GeoIP data from MaxMind or IPinfo lookup tables, and route messages to appropriate streams based on content rules. OpenSearch handles full-text indexing and storage with dynamic shard sizing that automatically calculates appropriate sizes from available node memory, while MongoDB stores configuration metadata including user accounts, roles, dashboards, alert rules, and pipeline definitions. The alerting system integrates with Slack, PagerDuty, and email with customizable notification templates and Replay Search links for immediate investigation context. Version 7.0 introduced MCP server integration for connecting preferred LLMs to perform AI-assisted log analysis and automation, while version 7.1 added Sigma detection rule import from private GitHub, GitLab, and Bitbucket repositories for detection-as-code workflows. The Sidecar agent management system centrally configures and deploys Filebeat, Winlogbeat, and nxlog collectors across infrastructure from the Graylog web interface. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. SSPL licensed.

Every production incident starts the same way: someone asks "what do the logs say?" and the answer takes 45 minutes to find. LogTide collapses that search into seconds with a unified observability platform that indexes logs, traces, and metrics into a single queryable interface, backed by your choice of TimescaleDB, ClickHouse, or MongoDB. The log search interface supports full-text queries across millions of entries with filters for trace ID, session ID, project, service, hostname, and severity level, plus a live tail mode that streams new log lines as they arrive. Distributed traces render as waterfall timelines showing every span, its duration, and cross-service dependencies, while correlated logs for each trace are one click away. The metrics explorer visualizes OTLP gauge and counter data from your applications with system CPU, memory, disk, and network panels that update in near real-time. Where LogTide diverges from standard observability is its built-in SIEM engine: Sigma-compatible detection rules scan incoming logs for security threats like SQL injection, privilege escalation, lateral movement, and C2 communication, surfacing findings on a dedicated security dashboard with severity distribution, detection timelines, and affected service breakdowns. Alerting pushes notifications to Email, Slack, or Discord webhooks when thresholds trip or security rules fire. Native SDKs for Node.js, Python, Go, PHP, Kotlin, and Ruby ship logs with retry logic and circuit breakers, and the platform accepts OpenTelemetry data natively. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Enter a URL and get a dashboard of everything publicly discoverable about its security posture, server architecture, and technology stack: Web-Check is an all-in-one OSINT tool for analyzing any website. One scan surfaces IP info and server location, the full SSL certificate chain with issuing authority and validity, DNS records (A, MX, NS, CNAME, TXT) with DNSSEC status, HTTP response headers interpreted for security directives like HSTS, CSP, and X-Frame-Options, cookies and their flags, WHOIS domain info, robots.txt crawl rules, a sitemap-derived page map, the redirect ledger, open ports, traceroute, detected technologies, third-party trackers, associated hostnames, site performance, and even carbon footprint. Each card explains what the data means and why it matters, which makes the tool double as a security education resource - junior engineers learn headers and attack surfaces by scanning real sites. Practical uses span pre-deployment security audits (catch missing headers and misconfigurations before they ship), privacy compliance checks (identify trackers and cookie behavior for GDPR work), competitive tech-stack research, and network debugging via DNS and redirect inspection. Built by Lissy93 in TypeScript, it deploys as a single Docker container, and self-hosting keeps your reconnaissance targets and audit activity off third-party services.

The CAPTCHA bargain - annoy your users and feed their behavior to Google - gets replaced with economics by mCaptcha. Instead of image puzzles, it uses SHA256 proof-of-work: every visitor's browser silently solves a small computational challenge (via a WebAssembly library) before submitting a form. Humans never notice the milliseconds; bots hammering your site must burn more compute sending requests than your server spends answering them, which makes attacks more expensive than defense - the property that also makes mCaptcha genuine DoS protection, not just bot filtering. Written in Rust, the system is fully automated: difficulty scales with traffic, so challenges stay trivial in normal conditions and harden under attack. The privacy and accessibility wins are structural rather than promised: no tracking, no profiling, no user-pattern data collection, and no visual puzzles that exclude users with visual or cognitive impairments - the design was published in Communications of the ACM. Rate limiting is IP-independent, so users behind NATs, VPNs, or Tor get the same experience instead of endless challenge loops, and proofs resist replay attacks, neutering captcha farms. Migration is deliberately easy: the API is compatible with reCAPTCHA and hCaptcha, making it a drop-in replacement. AGPL-licensed core with proprietary-friendly client libraries.

Sixty-thousand-plus GitHub stars make Uptime Kuma the most popular self-hosted monitoring tool - MIT-licensed, Node.js, and the standard replacement for UptimeRobot, Pingdom, and Freshping. It watches a dozen monitor types: HTTP(S) endpoints with keyword and JSON-query content validation, TCP ports, ICMP ping, DNS records, WebSockets, Docker containers via the socket, Steam game servers, MQTT brokers, gRPC services, and push-based heartbeats for cron jobs and internal workers. Checks run at intervals as tight as 20 seconds - versus UptimeRobot's 5-minute free tier - with unlimited monitors and unlimited data retention. When something fails, alerts fan out through 90+ notification channels: Slack, Discord, Telegram, email with LiquidJS templating, PagerDuty, OpsGenie, ntfy, Gotify, Matrix, and dozens more via native providers plus the Apprise library. Unlimited public or password-protected status pages - mappable to specific domains and organized into monitor groups - communicate health to customers, with maintenance windows that suppress alerts during planned work. The reactive dashboard graphs response times, tracks SSL certificate expiry with advance warnings, supports proxies and 2FA, and ships in dozens of languages. One Docker container with a SQLite volume covers an entire infrastructure.