NSFW JS vs Securewoof

Side-by-side comparison · Updated May 2026

 NSFW JSNSFW JSSecurewoofSecurewoof
DescriptionThe NSFWJS model empowers users to perform client-side indecent content checking by providing tools for monitoring and filtering inappropriate material directly on the client-side. Incorporating features such as Camera and Blur Protection enhances detection accuracy. Mechanisms are in place to manage false positives, ensuring legitimate content is not blocked erroneously. The model is efficient for client-side deployment with 93% accuracy and a size of 4.2MB. Additional resources are available through various Github repositories and blog posts.SecureWoof provides an AI-powered malware scanner that leverages the SOREL-20M malware dataset to train RoBERTa and FastText models. When users upload an executable file, it undergoes a series of checks and transformations, including static Yara rules, unpacking with Retdec, decompiling with Ghidra, formatting with clang-tidy, embedding with FastText, and final evaluation by a RoBERTa transformer network. SecureWoof also offers a free public API for easy integration and use.
CategorySecurity ApplicationSecurityApplication
RatingNo reviewsNo reviews
PricingPricing unavailableFreemium
Starting PriceN/AFree
Plans
  • FreeFree
Use Cases
  • Parents
  • Schools
  • Workplaces
  • Developers
  • Cybersecurity Experts
  • Software Developers
  • IT Administrators
  • Researchers
Tags
indecent content checkingclient-side deploymentCamera ProtectionBlur Protectionfalse positives
Malware ScannerAISOREL-20MRobertaFastText
Features
Client-side indecent content checking
93% accuracy
4.2MB model size
Camera and Blur Protection
False positive handling mechanisms
Loading indicator
Efficient client-side deployment
Resource availability (Github repositories, blog)
Owned by Infinite Red, Inc.
Suitable for live camera feeds
AI-powered malware scanning
Trained on SOREL-20M dataset
Utilizes RoBERTa transformer network
Static Yara rule checking
Unpacking with Retdec
Decompiling with Ghidra
Formatting with clang-tidy
Embedding with FastText
Free public API available
Advanced detection capabilities
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