WP Security Ninja

AppSumo

WP Security Ninja has received positive feedback for its strong security features, fast and responsive support, and practical application-level security. The plugin is praised for its lightweight and essential security features. While there have been some reports of missed malware detection and issues with the white label experience, overall, WP Security Ninja is a solid choice for those seeking robust WordPress security. Additionally, with a 60-day money-back guarantee, it's worth considering for those looking to enhance their website security.

Visit product View on AppSumoMar 9, 2026

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Actual performance

71reviews

Made the leaderboard

Traction signals

Rating4.4 / 5

Purchases803

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

68%68% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

24%24% predicted probability of success on BetaList, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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