Habr•August 17, 2026•🇷🇺Translated from Russian

Browser Extension Anonymizes Sensitive Data Before Sending to AI Chatbots

A new browser extension has been developed to solve the growing problem of sensitive data leaking into AI chat services through everyday work tasks.

HR specialists, lawyers, accountants, and IT staff routinely paste resumes, contracts, payroll tables, and configuration files containing personal data, bank details, and passwords directly into AI prompts. Once sent, this information remains on third-party servers with no reliable way to delete it from logs or training datasets.

The extension intercepts messages and file uploads at the moment of sending, replaces detected sensitive values with unique pseudonyms such as [user_qhb6tm] or [card_348zsg], and forwards only the masked text to the AI. When the AI replies using the same placeholders, the extension instantly restores the original values on the user's screen while the server sees only the anonymized version.

Earlier approaches proved insufficient. Manual replacement quickly failed due to user fatigue. Simple regex scripts struggled with Russian grammar, false positives on invoice numbers, and inconsistent name formats. External anonymization services merely shifted the trust problem to another third party.

The final solution meets three strict requirements: fully automatic operation without user intervention, completely local processing with no internet required after installation, and seamless integration that does not change how people interact with their preferred AI chat interface.

Inside the engine, 33 data categories are defined declaratively with patterns, validators, and priorities. INN numbers are verified using FNS checksum algorithms, cards use the Luhn check, and passwords are filtered by entropy and stop-word lists. Russian names are normalized to nominative case so that declined forms receive the same pseudonym. The response parser tolerates case changes, spaces, markdown, and homoglyphs to ensure reliable decoding even when models alter labels.

File support includes more than 70 formats. Office documents are processed by creating anonymized copies that preserve formatting, tables, and headers. Scanned PDFs and photos are handled by a local offline OCR engine that runs in a single worker thread, keeping memory usage low and the system responsive.

A free version covering all text categories and custom rules is available in the Chrome Web Store. Advanced features for files, scans, and enterprise policy distribution are provided upon request.

Related articles

Habr•Privacy & Surveillance

LxBox Evolves from VPN Client to Comprehensive Network Traffic Management Ecosystem

LxBox has grown from a personal Android client for sing-box into a full ecosystem spanning mobile, desktop, and router platforms. The project now supports a wide range of VPN and proxy protocols within a single routing framework, allowing users to manage corporate SSL VPNs, home WireGuard connections, and proxy servers together. Key security features include default ingress blocking to prevent unauthorized reverse connections through VPN tunnels and protections against traffic leaks via excluded applications. The developer introduced progressive configuration levels, from one-click WARP setup to advanced JSON editing and AI-friendly documentation. The core sing-box-lx fork ranks among the top sing-box derivatives and powers third-party tools such as the upcoming NekoBox 6. LxBox is available on Google Play, F-Droid, and GitHub, with desktop launcher support for Windows 7 and later, macOS, and Linux.

Habr•Privacy & Surveillance

Understanding Russia's TSPU: How DPI Filtering, DNS Manipulation and Traffic Throttling Work

Russia's TSPU system combines hardware filters from RDP.ru with EcoFilter and EcoDPI software to perform both simple IP/port/transport blocking and advanced protocol recognition. The platform inspects DNS queries, SNI fields in TLS handshakes, QUIC packets and HTTP headers to enforce domain blacklists or apply throttling. When simple blocking fails, operators fall back to traffic shaping that drops packets or limits bandwidth after an initial window. Multiple bypass techniques including encrypted DNS tunnels, ECH, and specialized proxies such as Hysteria 2, NaiveProxy and Shadowsocks are examined in detail. The article also outlines future developments including expanded residential whitelists and neural-network-based traffic classification.

Habr•Privacy & Surveillance

ONYX 2.0 Removes Central Servers for Fully Decentralized Tor-Based Messaging and Calls

ONYX 2.0-beta marks a major shift from its previously centralized design to a serverless architecture that relies entirely on Tor for all communications. Each user account is now represented solely by a cryptographic key pair generated on first launch, with recovery handled through a 12-word seed phrase. Devices connect directly via onion services, and the application bundles its own Tor daemon on desktop platforms while using tor-android on mobile devices. Voice calls are supported through an embedded local TURN server, delivering acceptable quality with 1-3 second latency despite the anonymity overhead. Message delivery now depends on recipient availability, with undelivered messages stored locally on the sender and retried automatically. The update deliberately removes features such as HTTP or SOCKS5 proxies and link previews to prevent IP leaks or external traffic. Developers released the beta to gather feedback on stability across network changes and multi-device scenarios.

Habr•Privacy & Surveillance

Privacy-Focused Browser Tool Compresses PDFs Locally Without Uploading Sensitive Documents

A developer created a PDF compression tool that runs entirely inside the browser to protect sensitive personal and professional documents from third-party servers. The solution addresses repeated situations where embassy submissions, financial presentations, contracts, and internal reports exceeded size limits, forcing users to choose between installing desktop software or risking data exposure through online services. The tool reduces scanned and photographic PDFs by 66 to 97 percent depending on quality settings while honestly reporting weaker performance on text-heavy files compared with Ghostscript. It works on both desktop and mobile platforms, including iPhone and Android, requires no installation, and continues functioning offline after the first page load. On mobile devices the application respects memory constraints by limiting images to four megapixels, preserving readability for A4 documents intended for printing. The project originated from a single evening script built around Ghostscript and evolved into a full web application after similar compression needs recurred across multiple devices and locations.