Security Scan Report: reportinguilink2events.earnieapp.be

Submitted: Jan 14, 2026, 7:13:19 AMCompleted: Jan 14, 2026, 7:14:47 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 10 HTTP transactions. The main domain is reportinguilink2events.earnieapp.be and was registered NaN years ago.

Submitted URL: https://reportinguilink2events.earnieapp.be

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site impersonates Microsoft on an unranked domain; treat as high‑risk phishing.

Risk Factors
Brand impersonation / typosquatting
Unranked domain presenting a well‑known brand
Domain age information unavailable

Details

Page Title

Microsoft Azure App Service - Welcome

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

You're looking at domain 'reportinguilink2events.earnieapp.be' on the Belgian country-code top-level domain (.be); it also runs on subdomain 'reportinguilink2events'. The registrable portion 'earnieapp' spans 9 characters holding five vowels versus four consonants. It segments into 3 words: e, arnie, app. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://reportinguilink2events.earnieapp.be

Page Load Overview

8.57s
Total Load Time
8
HTTP Requests
2
Domains
208 KB
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:639 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
420.107.224.22Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
413.107.213.44Ireland
82--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D91633290F44126929290D46BA66F07FF82E94BCA47A60477FC47C51FC6D86ECA729C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TrJcGlJuzug6NJZnv7/uxA2n1EmmJrXxJKf6kb1k9ucC:TrHJu6BHzGxxn1cKfJbY8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4348:TGIAAAAIECFDAjAEY4ABiwQARBAAgMgAgAgATkEAkIhGAAgBAEAELAEQACWAAIAYCASCqhAggBhMABAAECBAhgBiCMYAAwYp

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:7f1707671f3fffff
Perceptual Hash:a626d999d9e62626
Difference Hash:c0246dccb0a80000
Wavelet Hash:380004241010f0f0
Color Hash:#40bf59

Other Hashes

Crop Resistant:c0246dccb0a80000

Scan History

Scan history not available

Unable to load historical scan data