This is the first in Web3 to utilize the "Transactional Exhaust Layer", (see our short paper on this topic) — previously overlooked metadata from EVM transaction residue — to predict early-stage threat signatures
This system has a wordpress plugin for no-code use.
We are evolving this SDK and it's plugins into an API (Ala Cart Premium SDK-as-a-Service) with fast endpoints and expanded plugin/intelligence options.
"The Sub-Zero Intelligence Framework for Behavioral Telemetry and Covert Threat Detection"
Zero//Stack is a premium SDK that is license-based, modular, high-entropy fingerprinting and behavioral telemetry framework built for security-critical environments like Web3, fintech, and decentralized identity platforms. It collects deep client-side intelligence across hardware, browser, behavioral, and environmental layers, transforming it into a structured trace profile in real time. Each plugin is purpose-built — from GPU and font rendering fingerprints to session velocity, wallet injection detection, clipboard entropy, DOM anomaly detection, and advanced WebRTC/audio leakage — giving platforms unprecedented visibility into user authenticity, spoofing attempts, and threat patterns.
What sets Zero//Stack apart is its fully extensible plugin architecture, STIX 2.1-compatible data mapping, and its ability to operate in both browser and Node.js environments using .env-driven configurations. Every trace can be dynamically mapped, structured semantically, and exported or streamed via API, WebSocket, or webhook — ready to power threat intelligence feeds, user trust scores, or decentralized reputation systems. It’s not just a fingerprinting tool — it’s a real-time observability layer for Web3 safety and behavioral telemetry at the edge.
The Zero Tap Labs API & SDK infrastructure is the foundational access layer to an elite-grade threat observability and telemetry system built for the future of Web3 security. It delivers modular, high-performance capabilities to developers, analysts, fraud responders, and enterprise security teams — without exposing the inner core of the intelligence fabric.
This system enables secure interaction with real-time behavioral telemetry, fraud signal mapping, and risk profiling via lightweight SDK modules and hardened API pathways. It is designed to be effortlessly integrated into applications, wallets, sites, or infrastructure that require live security insight without compromising speed, privacy, or integrity.
Mission
Empower developers and Web3 builders with trusted, invisible security tools that function with surgical precision, speed, and silence.
By offering plug-and-play access to Zero Tap Labs' core threat intelligence engine, our platform allows Web3 projects to defend users before they become targets — and do so without needing to expose internal systems, user identities, or trade secrets.
Why It Matters
In a permissionless digital ecosystem, attack vectors evolve faster than any single entity can track. Zero Tap Labs solves this by: Offering real-time signal analysis via SDK plugins
Providing automated threat detection & response based on on-chain/off-chain data fusion Powering traceable intelligence workflows with accountability and observability in mind Supporting modular deployment, so components can be injected surgically into live apps or edge environments
This isn’t threat intelligence as a service — this is threat advantage as a framework.
What Sets It Apart
- Zero Friction: One-line SDK drops, no major re-architecture required
- Anonymity Preserving: No need for wallet linking or KYC to receive threat intelligence benefits
- Dynamic Scoring: Built-in risk scoring engine that evolves based on user behavior and environmental conditions
- TEL-Integrated: First in Web3 to utilize the "Transactional Exhaust Layer" — previously overlooked metadata from EVM transaction residue — to predict early-stage threat signatures
- Cross-Environment: Use the same logic stack across Python, Node, or browser contexts
- Built for Builders: Developer-first documentation, tiered API key access, and scalable pricing
Use Cases
- Wallets and dApps seeking on-device risk awareness
- Platforms requiring behavioral fingerprinting and fraud profiling
- Auditors or investigators needing traceable SDK event logs
- Projects offering trust & safety APIs to third-party clients
Ever Evolving and Quickly Growing "ZS Sub_Zero SDK Plugin" List & Use Cases for each
- spoof-breaker-pro: Detects spoofed browser environments and sends structured fingerprint output.
- zero-cloak: Stealth plugin to collect entropy/fingerprint data without detection.
- wallet-sniffer: Captures signature requests and monitors Web3 wallet behaviors.
- cursor-inertia: Detects natural vs synthetic mouse movement.
- font-preference-fingerprint: Fingerprint entropy based on font preferences and rendering.
- gpu-context-fingerprint: Detects headless GPU emulation or spoofing.
- math-function-entropy: Validates native math entropy consistency (anti-bot).
- session-velocity: Tracks behavioral speed and interaction patterns across sessions.
- clipboard-entropy: Detects automated data injections via clipboard.
- dom-anomaly-detector: Watches for DOM mutation patterns common in injection attacks.
- screen-color-depth: Uses screen resolution and depth to fingerprint display environments.
- session-timing: Measures performance and timing APIs to detect virtualization.
- trace-dynamic-mapper: Builds a dynamic map of all traceable entropy signals.
- plugin-hash-summary: Summarizes output of all plugin signals into a hashed identity.
- touch-precision: Mobile/touchscreen-based entropy detection plugin.
- advanced-entropy-cluster: Multi-plugin entropy combiner for behavioral fingerprinting.
- signalweave-fingerprint: Advanced cross-signal anomaly detection and fingerprint correlation.
Use Case Examples
Web3 dApps: Detect spoofed wallets, headless browsers, or bots before they can interact. Security Platforms: Integrate with your own APIs or threat feeds to enrich detection. Threat Feeds Mapping Surface Threat Events Use to Identify Repeat Web3/Web2 Fraud Offenders Help in Identifying TOR and VPN Users Find out the Intentions of Users (Optional) Spoof Signals back to Bad Actors Scanning Your platform/site (Optional) Active Threat Response to Defend your Zero//Stack Other Use Cases: Web3 Platforms, Crypto Platforms, Small Websites, or any website that wishes to harden security and map surface threat signal data.
Closing Note
Zero Tap Labs exists to bridge the gap between real-time insight and real-world protection — without bloat, buzzwords, or brittle dependencies. As the threats evolve, so will this stack — quietly, constantly, and always in your corner.