Security Scan Report: elyqxjdemo.03-120-55-020.plesk.page

Redirected to:
https://login.microsoftonline.com/b34ec9cd-0a78-4623-9e54-2885791429c7...
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Submitted: Jul 8, 2026, 9:05:27 AMCompleted: Jul 8, 2026, 9:06:39 AMpubliccompleted
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Summary

This website contacted 4 IPs in 4 countries across 4 domains to perform 2 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://elyqxjdemo.03-120-55-020.plesk.page/auth/oidc/azure

Effective URL: https://login.microsoftonline.com/b34ec9cd-0a78-4623-9e54-2885791429c7/oauth2/v2.0/authorize?access_type=offline&client_id=86a3041a-a218-4ec6-a019-fe40c6d23389&code_challenge=gT5w05hZCYfUaFWm_EG0M1kCMq-x2TZbRmmLID36cGc&code_challenge_method=S256&redirect_uri=https%3A%2F%2Fvpn.hsag-prod.onpower.cloud%2Fauth%2Foidc%2Fazure%2Fcallback&response_type=code&scope=openid+email+profile&state=-ScLSCl1MdLoL0J6&sso_reload=trueRedirected

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The site hosts a Microsoft‑style login page on an unrelated, unranked domain, indicating credential phishing.

Risk Factors
Brand impersonation
Unranked / low‑reputation domain
High JavaScript obfuscation
Phishing‑style login page title
Safety Factors
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network IDS alerts
Form posts to legitimate Microsoft endpoint (no exfiltration observed)
Domain age is well established (over 20 years)
Top-ranked domain (Cisco Umbrella #0, 8764 days old) with no strong malicious indicators — a login form on a household-name site is normal; risk clamped from 8 to 3
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(26%)

Domain Information

The domain 'elyqxjdemo.03-120-55-020.plesk.page' uses the .page top-level domain; it also runs on subdomain 'elyqxjdemo.03-120-55-020'. The core label 'plesk' covers 5 characters with 1 vowel and 4 consonants. Splitting it apart reveals two words: pl, esk. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elyqxjdemo.03-120-55-020.plesk.page/auth/oidc/azure

Page Load Overview

1.24s
Total Load Time
17
HTTP Requests
6
Domains
448 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:109 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical26% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
26%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
520.190.160.2Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
440.126.31.0Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
43.120.55.20Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
413.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
174--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123835BD67FB2293B828A45B5B4B97E02AA3A5903884CDD74F14CCC842FFB74D9127953

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D634b3bo8GLG2Prc3bVL1x39BZGPwHkNo7IZ9Tjuokmap5vPoMLuJd0GRji9rC:eu885N1xVEN3a/AkC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81295:gRwQCQChEQyIFAWEBMnVBSYigQjHCCgMEKKTjBEgsgKCWAPKAOFqAQEBklggIfAgzaEAxQFhCwIoIAAAAiMaECgLGxiSqwoP

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:0000187858180000
Perceptual Hash:c81d2727c8cf9d8c
Difference Hash:3202b2b2b232e585
Wavelet Hash:030018fafe1f75e5
Color Hash:#cc6ce0

Scan History

Scan history not available

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