Security Scan Report: aiia.eu

Redirected to:
https://www.mastercard.com/europe/en/business/open-finance.html
Site favicon
Submitted: Aug 13, 2026, 4:49:31 PMCompleted: Aug 13, 2026, 4:50:21 PMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is mastercard.com and was registered NaN years ago.

Submitted URL: https://aiia.eu

Effective URL: https://www.mastercard.com/europe/en/business/open-finance.htmlRedirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site impersonates Mastercard on an unrelated, unranked domain without collecting credentials, indicating high‑risk brand phishing.

Risk Factors
Brand impersonation (different entity's brand on mismatched domain)
Unranked/low-reputation domain
Meta tag brand mismatch
Safety Factors
Domain age 11705 days (well-established)
No credential or payment forms
No malicious JavaScript patterns or network alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

Mastercard Open Finance and Banking Solutions | Mastercard Europe

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(73%)

Domain Information

Domain 'aiia.eu' uses the .eu country-code top-level domain without a subdomain. Its registrable label 'aiia' stretches across 4 characters split between four vowels and 0 consonants. Splitting it apart reveals three words: a, ii, a. Median word length comes out to one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aiia.eu

Page Load Overview

5.58s
Total Load Time
80
HTTP Requests
10
Domains
2.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:17,499 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking73% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
73%

Detected Features

Search
OG: Marketing-Regional
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1440.113.65.9Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1123.36.162.201Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
112.23.245.90Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1131.97.96.113Boston, Massachusetts, United States
AS47583Hostinger International Limited
11216.119.218.173United States
AS26380MasterCard Technologies LLC
11104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11104.82.100.181Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
807--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12694A66664F1123AA1DF66D8A6917799F4128A0FFEA319ECF04C57680FC6FE18C0721D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:kP3OpTAfqdjW9quFevpndIi29eZueLesdep:kPepTAfqd6evpndIi29deLesk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:437843:iT05BgEXDgIzBAgFIiJIAiGUQod2YQA0mQQAUAFD0aaIqiNQMJyFNQG8QDgAooQesgZGtjCBgBJ7YgwKJpSGRgBwCkREtARA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:7f0901010001ffff
Perceptual Hash:aa0bd50cb6c62af5
Difference Hash:dcdbd9e97d698d1e
Wavelet Hash:7f0d0d010101ffff
Color Hash:#bf406a

Scan History

Scan history not available

Unable to load historical scan data