MokN Bait vs YALIH: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
MokN Bait is a commercial honeypots & deception tool by MokN. YALIH is a free honeypots & deception tool. Compare features, ratings, integrations, and community reviews side by side to find the best honeypots & deception fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise teams drowning in credential stuffing and password spray attacks need MokN Bait because it stops attackers at the moment they try stolen passwords, not weeks later in logs. Cloud deployment means no infrastructure work, and the zero false positive guarantee matters when your SOC is already understaffed; you get signal instead of noise. Skip this if your threat model is primarily external perimeter attacks rather than post-breach lateral movement, or if your team lacks basic credential hygiene to make decoy baits credible.
Security teams evaluating client-side threats without the budget for commercial honeypots should test YALIH; its JavaScript analysis catches obfuscated malware signatures that static URL scanning alone misses. The free pricing and active GitHub presence (68 stars) mean zero acquisition friction for proof-of-concept deployments. Skip this if you need managed threat hunting or integration with your existing SOC tooling; YALIH is a detection layer that requires you to own the response workflow.
