IOC Fanger Python Package vs Lunar: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
IOC Fanger Python Package 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:
Security analysts and threat intel teams who process IOC feeds from multiple sources will value IOC Fanger Python Package for its ability to standardize defanged indicators back into queryable format without writing custom parsing logic. The package handles the tedious text manipulation that blocks investigation velocity, freeing your team to focus on actual threat hunting rather than cleaning data formats. Skip this if you need a UI-driven platform or expect vendor support; this is a 68-star library maintained by the community, best suited for teams comfortable embedding Python into existing workflows.
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.
