Aegis OmniGuard
Overview
Scans input locally for credit cards, API keys & crypto mnemonics before sending to AI chatbots. 100% offline, open source.
Aegis OmniGuard - Local Input Scanner for AI Chatbots Aegis OmniGuard is a browser-based input scanner that detects sensitive data patterns (credit card numbers, API keys, crypto mnemonics, etc.) in text you type or paste, and alerts you before submission. COMMON SCENARIOS Developers and everyday users often accidentally include sensitive data when using AI chat tools: - A credit card number copied from a support ticket - An API key (sk-proj-..., AKIA...) left in a code snippet - A crypto wallet mnemonic phrase in a note - A .env file containing DATABASE_URL=... HOW IT WORKS 1. The extension monitors input fields and contenteditable elements on web pages 2. When you type, paste, or click a send button, the text is scanned locally using pattern matching and algorithmic verification 3. If sensitive data is detected, the extension shows an in-page notification and masks the detected content 4. No data ever leaves your browser — all scanning runs 100% offline HOW TO TEST (try it yourself) 1. Install the extension and ensure the protection toggle is ON (click the extension icon to check) 2. Open any AI chatbot website (e.g., chatgpt.com or claude.ai) 3. Paste the following test credit card number into the chat input: 4111 1111 1111 1111 4. Press Enter or click the Send button 5. You will see a shield notification appear and the number will be masked with asterisks 6. Click the extension icon → Logs tab to see the interception record DETECTION METHODS - Credit Cards: Regex pre-filter + Luhn checksum verification (random 16-digit numbers are not flagged) - Crypto Mnemonics: BIP-39 wordlist matching against the standard 2048-word list (12 or 24 consecutive words required) - Private Keys: Hexadecimal pattern matching + Shannon entropy analysis - API Keys: Pattern matching for known formats — OpenAI (sk-proj-...), Anthropic (sk-ant-...), AWS (AKIA...), GitHub (ghp_.../gho_...), Google AI (AIza...) - .env Secrets: KEY=VALUE format detection - PII: Chinese ID cards (18-digit with checksum), phone numbers, email addresses KEY FEATURES - Two-Pass Detection: Fast regex pre-filter followed by algorithmic verification to reduce false positives - Modern UI Compatibility: Works with contenteditable elements used by ChatGPT, Claude, and similar chat interfaces - Shadow DOM Notification: In-page alerts are isolated via Shadow DOM to avoid CSS conflicts - Three Protection Levels: Low (high-confidence only) / Medium (recommended) / High (aggressive) - Domain Whitelist: Disable scanning on trusted domains you specify - Intercept Logs: View a history of detected and masked items PRIVACY - All scanning runs 100% locally in your browser - Zero network requests for scanning — no data is sent to any server - No telemetry, analytics, or tracking of any kind - Open source under MIT License — inspect every line of code PERMISSIONS EXPLAINED - "storage": Saves your settings and intercept logs locally - "activeTab": Allows the content script to scan the current page - "<all_urls>" in content_scripts: Required because AI chatbots are hosted on many different domains; restricting to specific domains would leave users unprotected on new or lesser-known AI services OPEN SOURCE GitHub: https://github.com/anthropic-user/aegis-omniguard Twitter/X: @bidaoofficial
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Details
- Version0.1.0
- UpdatedFebruary 25, 2026
- Offered bybidaoai
- Size112KiB
- LanguagesEnglish (United States)
- Developer
Email
ccpctoken@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site