Smart Engines and Intek Deliver Russian Scanners for AI-Powered Document Verification and Fraud Prevention
Smart Engines and GK Intek have introduced a family of Russian software-hardware scanner complexes designed for fast, secure document input and fraud detection. The devices handle passports, driver licences and other identity documents from Russia, CIS states and 235 additional jurisdictions.
The scanners perform automatic data capture and multi-spectral authenticity verification in a single pass. They examine documents under visible, ultraviolet and infrared illumination, analyse holograms and other security features, and read RFID chips when present. All processing occurs locally, eliminating the need to transmit images or personal data to external services.
Banks have already integrated the complexes to strengthen KYC and anti-fraud controls. At Genbank the solution reduced passport data entry to fractions of a second with 99.9 % accuracy. Severgazbank deployed the system to detect forged documents from Russia and 235 other countries, reporting a measurable drop in attempted fraud after integration in 2022.
At major airports the same technology operates inside the Sapsan border-control system. Modules equipped with the Sherlock neural ensemble now process passengers at Sheremetyevo, Vnukovo and Koltsovo, extracting data from Russian foreign passports, checking more than 600 authenticity features and identifying sophisticated fakes including deepfakes. After ten modules were installed at Sheremetyevo, average border-crossing time fell to 40 seconds and throughput increased six-fold.
Additional deployments cover automatic pass kiosks at seaports and river ports, electronic-signature issuance windows at Federal Tax Service offices, and the first pharmacy robot in Minsk that verifies customer age before dispensing restricted medicines. The scanners also support domestic hardware platforms including Komdiv, Elbrus and Baikal processors together with Russian operating systems.
Two U.S. patents further strengthen the offering: one detects hidden digital edits by analysing an image’s digital “handwriting” rather than its visual content; the second identifies optically variable devices from visible-light images taken under varying illumination angles, exposing copies and replicas.
Related articles
PhishIntel: Open-Source Python and Go Tool Automates Web Reconnaissance for OSINT Analysts
PhishIntel is a lightweight reconnaissance utility written primarily in Python with performance-critical components in Go. The tool launches via a single command and presents an interactive menu that lets analysts select language and modules. Its core crawler recursively visits a configurable number of pages at a chosen depth and concurrency level, harvesting Russian and US-format phone numbers, emails, cryptocurrency wallets, and physical addresses. Additional modules collect domain metadata including DNS records, RDAP, WHOIS, TLS certificates, redirect chains, and external JavaScript and API endpoints. A limited TCP port scan performed by the Go binary identifies listening services and basic technology fingerprints without replacing full port scanners such as Nmap. Results are exported in both structured JSON and human-readable HTML formats, while an optional .env file allows customization of user agents and proxies.
Why Isolated Bank Scoring Fails to Prevent Counterparty Default: OSINT Case Study of a Scam Deal
A Russian social entrepreneur lost nearly one million rubles after relying on a major bank's automated compliance system that assigned a green reliability score to a fraudulent supplier. The supplier, registered as a transport company, received 500,000 rubles in targeted government grant funds for IT equipment but delivered only 15,000 rubles worth of goods before disappearing. Retrospective analysis using public Russian registries revealed multiple red flags missed by the isolated scoring algorithm, including mismatched OKVED codes, missing financial statements for three years, and clear ownership links to a bankrupt IT firm. The beneficial owner later faced tax blacklist entry and three-year disqualification after the transport entity was liquidated as inactive. The case demonstrates that single-entity automated checks create a false sense of security by ignoring beneficiary networks and operational logic. Manual verification through official sources such as EGRUL, GIR BO, and arbitration court records proved far more effective at exposing the scheme.
Avito and BI.ZONE Launch Cyberdetective CTF for Non-Technical Employees Focused on Phishing and Social Engineering
Avito's Security Awareness team, in partnership with BI.ZONE, created the Cyberdetective jeopardy-style CTF competition specifically for non-technical staff who do not write code. The three-day event targeted 104 registered participants, with 44 completing tasks and 16 achieving maximum scores across scenarios involving phishing, OAuth consent abuse, file metadata analysis, and prompt injection. Tasks awarded flags not only for investigation but also for refusing risky actions such as granting excessive application permissions or clicking suspicious links. The design incorporated MITRE ATT&CK techniques including T1566.002 Spearphishing Link, T1528 Steal Application Access Token, and T1204.004 Malicious Copy and Paste. Organizers emphasized indirect hints to help participants recognize when an object required action, avoiding the common barrier where employees fail to understand that a strange string or domain needs examination. Feedback highlighted the value of hands-on decision-making over passive lectures, though some technical employees completed the set rapidly.
Paper Mail Combined with Phishing: Russians Targeted by Fake FNS Tax Portal Copies
Russian scammers have started blending traditional postal mail with digital phishing to steal taxpayer credentials. Victims first receive official-looking paper letters from the Federal Tax Service demanding corrections to tax declarations or supporting expense documents. These letters are followed by emails directing users to a counterfeit version of the FNS personal account portal. The fake site captures login details, passwords, and other authentication data that can be reused for further identity theft and account takeovers. Senator Artem Sheikin highlighted the scheme, noting that the paper letter builds initial trust before the electronic follow-up appears legitimate. Users are advised to access tax information only by manually visiting the official FNS website or through the Gosuslugi platform without clicking any links. The attack relies primarily on psychological manipulation rather than technical sophistication.