Habr•October 10, 2026•🇷🇺Translated from Russian

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

A developer frustrated with online PDF compression services has released a browser-based tool that processes files entirely on the user’s device, eliminating the need to upload sensitive documents such as birth certificates, diplomas, and financial reports.

The project began when a multi-page PDF containing scans of passport data and official documents had to meet a strict one-megabyte limit for an embassy submission. Standard search results pointed to free online compressors, yet the author rejected them because the files represented a complete identity package that could enable impersonation if mishandled.

Desktop alternatives such as Ghostscript, Apple’s Preview, and paid editors were available on a personal laptop, but the same constraints appeared later on other computers and especially on mobile phones. Presentations containing financial figures, internal reports, and contracts repeatedly exceeded email or portal limits, leaving users with the choice of installing command-line tools or sending data to unknown servers.

The resulting web application, designed with mobile use as the primary scenario, opens in Safari or Chrome, can be added to the home screen, and continues working without an internet connection after the initial visit. On phones it avoids memory-related tab reloads by capping images at four megapixels, which remains sufficient for legible A4 output.

Performance tests show size reductions between 66 and 97 percent on scanned and photographic content. On purely textual PDFs the tool underperforms Ghostscript and explicitly informs users of this limitation. No files ever leave the device, addressing the core privacy concern that originally motivated the project.

Related articles

Securitylab•Privacy & Surveillance

Maximizing iPhone Privacy: Essential Settings to Enable, Disable, and Verify Immediately

The article provides a detailed guide on strengthening iPhone privacy by limiting unauthorized access to messages, location data, photos, and cloud backups. It explains how to set a strong alphanumeric passcode, enable Stolen Device Protection, and restrict lock screen notifications and widgets. Users are advised to review Apple ID security, enable Advanced Data Protection for iCloud, and minimize app permissions for location, contacts, and camera. Additional steps include turning off cross-app tracking, using private Wi-Fi addresses, and activating Lockdown Mode for high-risk scenarios. The guide emphasizes regular updates, encrypted local backups, and periodic audits of shared access and active sessions to maintain long-term protection.

Securitylab•Privacy & Surveillance

Top 10 Secure DNS Servers for Privacy, Threat Blocking and Ad Filtering in 2026

Public DNS resolvers differ significantly in their ability to block malicious domains, filter advertising and tracking, respect user privacy, and support modern encryption protocols. The guide evaluates ten services including Quad9, Cloudflare, AdGuard DNS, NextDNS, Control D, CleanBrowsing, Mullvad DNS, DNS4EU, Google Public DNS and DNS.SB, providing IPv4 addresses, DoH and DoT endpoints, and recommended use cases. Key distinctions include Quad9’s focus on phishing and malware blocking without logging, Mullvad’s strict no-logs policy requiring encrypted protocols only, and DNS4EU’s EU-based infrastructure with mandatory court-ordered blocks. The article explains why DNSSEC and encryption alone are insufficient and outlines four practical selection criteria: threat filtering quality, data-handling practices, encryption support, and network stability. Detailed configuration instructions cover Windows 11, Android, iOS, and home routers, along with verification methods and warnings against mixing providers with conflicting policies.

Habr•Privacy & Surveillance

WebRTC IP Leaks Explained: Why Disabling the Protocol Harms Anonymity in Anti-Detect Browsers

The article from Aurorium details how WebRTC technology can leak real IP addresses even when users route traffic through proxies. It explains the peer-to-peer mechanics of WebRTC, the role of STUN servers in generating ICE candidates, and why standard TCP proxies fail to handle UDP traffic. Disabling WebRTC via flags or JavaScript extensions creates detectable anomalies that anti-fraud systems flag as non-standard environments. The recommended approach involves native emulation inside the browser kernel so that STUN requests return proxy IPs while preserving full API integrity across workers. Additional leaks through local network addresses, mDNS candidates, and IPv6 are also covered with practical verification methods using tools like BrowserLeaks and CreepJS.

Habr•Privacy & Surveillance

Docx Anonymizer: Open-Source Chrome Extension Uses Fine-Tuned rubert-tiny2 to Anonymize Personal Data Before AI Uploads

A Russian developer has released Docx Anonymizer, a browser extension that automatically detects and replaces personal data in documents using a lightweight NER model before they reach public AI services such as ChatGPT. The tool was created to help organizations comply with Russia’s 152-FZ personal data protection law while avoiding the risks of uploading contracts and other sensitive files to cloud-based LLMs. It runs entirely locally via ONNX Runtime and WebAssembly, requires no network calls, and supports any AI chat interface. The underlying model, rubert-tiny2, was further trained through knowledge distillation on WikiANN, factRuEval, and synthetic business documents, reaching strong F1 scores for person and organization entities after int8 quantization. The extension intercepts text on the fly, performs named-entity recognition in under two seconds for typical contracts, and replaces detected entities with placeholders. The project is fully open source and designed for minimal user friction, addressing the growing problem of employees inadvertently leaking corporate and personal data to public AI platforms.