Security Scan Report: www.www.www.www.52-011-19-075.plesk.page

Redirected to: https://login.microsoftonline.com/703af7de-3cc1-45b1-b099-9edeca84fe9f/oauth2/v2.0/authorize?response_type=code&client_id=dc7c5493-cc6b-4e6e-823a-e711cc94817f&state=3980be7cbdff31ed9534ec53ab21a852&redirect_uri=https%3A%2F%2Fwww.www.www.www.52-011-19-075.plesk.page%2Fredirect-uri&hd=sansar.com&nonce=a3c2c9b4136c068e768b30ee23bc9cc1&scope=openid%20email%20profile&sso_reload=true

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Submitted: Feb 3, 2026, 8:41:38 AMCompleted: Feb 3, 2026, 8:43:42 AMpubliccompleted
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Summary

This website contacted 5 IPs in 4 countries across 5 domains to perform 31 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://www.www.www.www.52-011-19-075.plesk.page/

Effective URL: https://login.microsoftonline.com/703af7de-3cc1-45b1-b099-9edeca84fe9f/oauth2/v2.0/authorize?response_type=code&client_id=dc7c5493-cc6b-4e6e-823a-e711cc94817f&state=3980be7cbdff31ed9534ec53ab21a852&redirect_uri=https%3A%2F%2Fwww.www.www.www.52-011-19-075.plesk.page%2Fredirect-uri&hd=sansar.com&nonce=a3c2c9b4136c068e768b30ee23bc9cc1&scope=openid%20email%20profile&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page impersonating Microsoft login; do not enter credentials.

Risk Factors
Credential harvesting form on an untrusted, unranked domain
Brand impersonation (Microsoft) on a suspicious domain
Suspicious redirect from a non‑official domain to Microsoft login page
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.www.www.www.52-011-19-075.plesk.page' uses the .page top-level domain and includes subdomain 'www.www.www.www.52-011-19-075'. Count 5 characters in 'plesk' with 1 vowel and four consonants. Breaking it apart gives 2 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://www.www.www.www.52-011-19-075.plesk.page/

Page Load Overview

51.38s
Total Load Time
11
HTTP Requests
4
Domains
217 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:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.190.160.66Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.159.131Sweden
252.11.19.75Boardman, Oregon, United States
AS16509Amazon.com, Inc.
223.207.210.132GermanyUnknown
213.107.246.44UnknownUnknown
115--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189734AEA7FB31937838650B5B5B96D02AE7A99038C4CDD60F09C8DC82FEA75D8123517

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jbbg8GLGGNl2no73oIyEk77gx2xpTvPoMBArdE6iiHTC:fbg86l2I3J32RATC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79052:aIUAMxAqHDIgVCDDAmAC+CogQJAUOCClqCQZSqJAECiJaAVBSAGT1YWgMCYCYIYqBIlDQRUiS/lKC2cgXCAkBKABloXAhPIE

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:0010393b373f373f
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5eee6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#861f93

Other Hashes

Crop Resistant:88e4d2d3e5eee6e6

Scan History

Scan history not available

Unable to load historical scan data