Security Scan Report: www.backend.admin.en.03-120-55-020.plesk.page

Redirected to:
https://login.microsoftonline.com/b34ec9cd-0a78-4623-9e54-2885791429c7...
Site favicon
Submitted: Aug 5, 2026, 2:30:46 PMCompleted: Aug 5, 2026, 2:31:57 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 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://www.backend.admin.en.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=CdA4TBn8d4N8qwlpaGoIm2S8Dc0GooPxwVJorvmhoNY&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=1IZqNkIiAykS5Ike&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The page mimics a Microsoft login, collects credentials on an unrelated, unranked domain, and uses heavily obfuscated JavaScript, indicating a high‑risk brand impersonation phishing attempt.

Risk Factors
Brand impersonation of Microsoft
Credential collection on a non‑official domain
High JavaScript obfuscation (critical score)
Unranked / low‑reputation domain
Cross‑origin form submission to external identity provider
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(37%)

Domain Information

Within the .page top-level domain, 'www.backend.admin.en.03-120-55-020.plesk.page' is registered; it also runs on subdomain 'www.backend.admin.en.03-120-55-020'. Its registrable label 'plesk' stretches across 5 characters split between one vowel and four consonants. It segments into 2 words: pl, esk. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.backend.admin.en.03-120-55-020.plesk.page/auth/oidc/azure

Page Load Overview

1.15s
Total Load Time
16
HTTP Requests
6
Domains
1.0 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:109 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical37% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
37%
technology software
30%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
423.207.210.130Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
440.126.31.67Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
43.120.55.20Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
420.190.159.131Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
164--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F835BD97E672A3B868A05B5B47A2E02AE3B5903984CCD74F15CCC842FFB64D8133957

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FpxI8xLo8GLG2IA+xLVsqxDHMlDayoTNoKIZ9Tjuokmap5vPoMLufjk0GXZixLC:pz88bAOKabMlDa7NGa/AxxLC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81373:DIiCWAYAYAAHwCQKQbFFM1MPmJHsNIQGhh4gEAaGxzlQ6lBEPiAYIxEhGgsAgygKwgjAiyAoDxgIAeAKAIAQT8FJnIBiiWYo

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:#48bf40

Scan History

Scan history not available

Unable to load historical scan data