IntelMQ vs Lunar: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
IntelMQ is a free threat intelligence platforms tool. Lunar is a free threat intelligence platforms tool by Webz.io. Compare features, ratings, integrations, and community reviews side by side to find the best threat intelligence platforms fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Teams processing high-volume threat feeds without budget for commercial platforms should build on IntelMQ; its message queue architecture handles feed ingestion and normalization at scale, and the 1,100+ GitHub deployments prove it runs in production SOCs. The real strength is automation of repetitive feed parsing and enrichment workflows that would otherwise require custom scripts. Skip it if you need a polished UI or vendor support for incident response; IntelMQ excels at the plumbing layer, not the analyst-facing layer.
Security teams managing breach aftermath and credential exposure across multiple domains should adopt Lunar for its real-time infostealer log intelligence, which surfaces compromised credentials faster than waiting for breach notifications. The platform ingests large-scale daily breach data and prioritizes service-level context for remediation, directly supporting the NIST Detect function of continuous monitoring and incident characterization. Skip this if you need post-compromise forensics or threat hunting beyond credential validation; Lunar is detection and alerting first, not investigation.
