November 3, 2026

Interactive Tools, Protocol Simulators & Reproducible Benchmarks

Interactive Engineering Utilities & Benchmarks

Use our free interactive calculators, protocol simulators, and diagnostic labs to size local LLM GPU hardware, inspect public IP and WebRTC routing, compare lossless PNG vs. JPEG/WebP compression, model post-quantum TLS 1.3 packet flights, test W3C WebAuthn passkey enclaves, and triage suspicious messages.





1. Interactive Calculators, Simulators & Diagnostic Utilities

AI & Hardware Sizing

2026 Local LLM VRAM, KV-Cache & Token Speed Calculator

Calculate exact GPU memory footprints (model weights, GQA vs. DeepSeek MLA KV-cache, and activation buffer), hardware fit across RTX 30/40/50-series and Apple Silicon, estimated tok/s, and ready-to-run llama.cpp / vLLM flags.

Network & Privacy Diagnostic

Interactive Public IP, WebRTC Leak & IETF RFC Range Inspector

Inspect your outward-facing IPv4/IPv6 address, probe WebRTC STUN ICE candidates for VPN/proxy leaks, and classify any IP address against IETF RFC 1918 (Private LAN), RFC 6598 (CGNAT), and RFC 4193 standards.

Image Compression & Pixel Lab

Interactive JPG vs PNG vs WebP Byte-Size & 4× Artifact Comparator

Compare lossless PNG DEFLATE against lossy 8×8 DCT JPEG and WebP across sharp UI screenshots, continuous photo gradients, and RGBA alpha graphics, or upload your own image to inspect 4× pixel crops and download converted files.

NIST FIPS 203 & FIPS 204 Protocol Lab

Interactive Post-Quantum TLS 1.3 Wire-Size, MTU & Latency Simulator

Simulate ClientHello TCP MSS fragmentation, 10-packet initial congestion window (initcwnd) stalls, and handshake latency across X25519MLKEM768, ML-DSA-65, and SLH-DSA with CSV export and OpenSSL 3.5+ configs.

FIDO2 / W3C WebAuthn Level 3

Interactive Passkey Hardware Capability Tester & AitM Phishing Simulator

Check your browser and device hardware enclave readiness for Passkeys, test a real ephemeral WebAuthn ceremony in milliseconds, and simulate how cryptographic origin binding blocks Evilginx reverse-proxy phishing.

Fraud & Phishing Triage

Interactive Scam Message, URL & Deposit-Trap Triage Checker

Inspect suspicious SMS/WhatsApp job offers, toll fine alerts, and links for advance-fee USDT deposit traps, disposable phishing TLDs (.top, .xyz), Punycode homoglyphs, and sideloaded .apk malware.

OWASP LLM01 / Agentic Security

Interactive AI Agent Prompt-Injection & Tool-Policy Sandbox

Simulate indirect prompt injection across RAG documents, emails, and SSRF web pages, compare 4 architectural defense gates, and download a production JSON Agent Security Policy.

Optical & Display Pipeline Lab

Interactive VR Headset PPD, Supersampling & Bandwidth Calculator

Calculate angular Pixels-Per-Degree (PPD), OpenXR barrel-distortion stereo render targets, frame-time budgets, and DisplayPort DSC vs. Wi-Fi 7 compression ratios.

Store Experiment Statistics

Interactive App Store A/B Lift & Two-Proportion Z-Test Calculator

Compute install conversion rate lift, Z-score, and 95% two-tailed statistical confidence for Apple Product Page Optimization and Google Play Store Listing Experiments.

OpenSSH 9.9+ / RFC 8709 Hardening

Interactive SSH Keygen & Post-Quantum sshd_config Generator

Generate hardened ssh-keygen -t ed25519 -a 100, FIDO2 hardware-resident ed25519-sk commands, and drop-in /etc/ssh/sshd_config.d/ files with hybrid post-quantum mlkem768x25519-sha256 KEX.

2. Reproducible Jupyter & Google Colab Benchmark Notebooks (.ipynb)

Jupyter / Colab GPU Lab

Local LLM VRAM, KV-Cache & Matrix Bandwidth Benchmark

Reproduce our Q4_K_M / Q5_K_M VRAM tables, MLA KV-cache compression math, and live PyTorch matrix-multiplication bandwidth probes.

Jupyter / Colab Protocol Lab

Post-Quantum TLS 1.3 (FIPS 203 ML-KEM & FIPS 204 ML-DSA) Benchmark

Verify hybrid X25519MLKEM768 wire overhead, 1,460-byte TCP MSS segmentation counts, and live TLS 1.3 cipher negotiation in Python.

Jupyter / Colab Evaluation Lab

Machine Learning Confusion Matrix & 95% Accuracy Paradox Lab

Run the imbalanced classification experiment in scikit-learn to inspect True Positives, False Positives, Precision, Recall, and F1.

Machine-Readable Feeds for Developers & AI Agents: Every guide on The Infosiast supports clean GitHub-Flavored Markdown retrieval by appending ?format=md to its URL, and our full citation index is published at /llms.txt and /llms-full.txt. Written and prepared by Kshitij Gupta.