# amlriskscore.ru — SUSPICIOUS

> amlriskscore.ru is linked to phishing activity. Exercise caution and avoid interacting with this domain while investigations continue.

## Summary
PhishDestroy identifies amlriskscore.ru as a suspicious domain exhibiting characteristics consistent with generic phishing threats. Although it is currently classified as under investigation, the domain's creation date and registration details raise concerns warranting closer monitoring. The domain was registered recently on February 14, 2026, through the Russian registrar REGRU-RU, which is commonly associated with emerging malicious infrastructure.

Technical indicators show that amlriskscore.ru resolves to the IP address 37.140.192.63. Despite a thorough VirusTotal scan revealing zero detections across 95 security vendors, the domain's newness and hosting details suggest potential nefarious use. The lack of flags on VirusTotal emphasizes the need for alternative intelligence sources and continuous surveillance, as attackers often exploit fresh domains before signature-based detection systems can respond.

Currently, amlriskscore.ru remains active and under investigation by PhishDestroy analysts. Users are advised to avoid clicking on links or submitting any personal information via this domain until further verification is complete. PhishDestroy continues to monitor this domain's activity and will update risk assessments as new intelligence surfaces, supporting proactive defense against emerging phishing threats.

## Threat Details
- Verdict: SUSPICIOUS
- Site status: alive (HTTP 200)
- Page title: AML Risk Score — AI-powered compliance for banks

## Domain Intelligence
- Registered: 2026-03-03 19:07:02
- Registrar: REGRU-RU
- IP: 37.140.192.63
- Nameservers: ns1.hosting.reg.ru ns1.hosting.reg.ru. ns2.hosting.reg.ru ns2.hosting.reg.ru.

## Detection Status
- VirusTotal: 2 vendors flagged
  Vendors: ["Gridinsoft", "SOCRadar"]
- Google Safe Browsing: clean
- Blocklists: 1 hits
  Lists: ["PhishDestroy"]

## Live Page Content

### Page Text
AML Risk Score — AI-powered compliance for banks Team Problem Solution How it works Uniqueness Product Business Market Roadmap Contacts Enter Risk Score Enter password Please try again. Cancel Enter AML Risk Score Find Risk — compliance for banks Find Risk Risk analysis in seconds Mikhail Mikhailov & Anastasiia Mikhailov February 2026 Team Mikhail Mikhailov — CEO, Product 5 years at T-Bank (ex-Tinkoff) Senior AML Specialist Daily: detecting money laundering schemes Anastasiia Mikhailova — CRO, Strategy 5 years at VTB (largest Russian bank) Senior Risk Analyst, Underwriting Corporate credit risks, fraud detection Fluent English, leads negotiations Problem Banks spend 20–40 minutes reviewing a single client statement. Compliance officers: Miss complex schemes Forget to document checks Can't scale Regulator fines: €5M+ per case European AML fines (2024) — verified 42.4 34.5 1.5 1.0 0.6 Klarna (SE) Starling (UK) Crédit Agricole (FR) Treezor (FR) Banque Delubac (FR) Source: ACPR (FR), FI (SE), FCA (UK) — 2022–2024 Solution AML Risk Score uploads PDF → parses transactions → detects risks → gives recommendations → generates report 8 seconds instead of 30 minutes How it works Upload any PDF bank statement Automatic transaction parsing Risk detection (red = high risk) Investigator recommendations One-click Excel/PDF report Screenshot: Upload Upload the client's bank statement to AML Risk Score. Screenshot: Result In 3 seconds you get a ready AML risk report and we identify suspicious operations. Screenshot: Report You immediately get a detailed report on client transactions and identified risks. Uniqueness Feature Others AML Risk Score PDF parsing — ✓ Any bank Russian typologies — ✓ 16-MR, 53-T, 172-T, crypto Investigator recommendations — ✓ "Request contract, verify qualifications" Check history — ✓ Client profile, risk dynamics Telegram bot — ✓ 24/7 automated checks Product today Web app (deep analysis) Telegram bot (24/7, server) PDF parsing: T-Bank, Sber 5 AML methodologies Risk scoring (low/medium/high) Check history with client profiles Bilingual (Russian / English) PII masking Business model SaaS Subscription Parameter Value Model Annual subscription Price €25,000 – €35,000 per bank/fintech Strategy 2–3 free pilots → case studies → paid contracts Add-ons White-label integration (+€20k one-time), premium support (+€5k/year) Why SaaS: Predictable recurring revenue Banks are used to subscription models Low customer acquisition cost (pilots → case studies → referrals) Client growth 2 10 25 Year 1 Year 2 Year 3 Market Potential France 300+ banks 200+ fintechs (Qonto, Shine, Lydia, etc.) Compliance software budget: €50k–100k/year per bank Europe 3,000+ banks 1,500+ fintechs AML software market growth: 15% annually (due to regulatory pressure) Total Addressable Market (TAM) France: €20M–30M/year Europe: €200M+/year Roadmap & Current Stage ✓ Current stage: MVP working Component Status Web application ✓ Live Telegram bot 24/7 ✓ Running on server PDF parsing

### Form Fields
- Password
- button
- password
- submit

## Evidence
- Screenshot: https://urlscan.io/screenshots/019cb4c5-6609-7480-a9a0-44feca5bd973.png
- Cloudflare Radar: https://radar.cloudflare.com/scan/83fd83cd-a0fb-4b07-b59a-651b1be4c6d0
- PhishDestroy: https://phishdestroy.io/domain/amlriskscore.ru/

## If You Visited This Site
1. Change any passwords you may have entered
2. Enable 2FA on all related accounts
3. Monitor your accounts for unauthorized activity
4. Report to: FBI IC3, Europol, local authorities

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Report by PhishDestroy | https://phishdestroy.io/domain/amlriskscore.ru/
Last updated: 2026-03-14