cabby vs Lunar: 2026 Comparison
cabby 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:
Threat intelligence teams who build custom TAXII integrations will find cabby invaluable because it eliminates weeks of boilerplate Python code for server communication. The library has 104 GitHub stars and handles the TAXII 2.0 and 2.1 specifications natively, which covers the protocol versions most enterprises actually deploy. Skip this if your team doesn't write code or needs a UI-driven threat feed aggregator; cabby is strictly for engineers embedding threat data into automation pipelines.
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.
