Security Scan Report: autodiscover.skillsedgestudent.co.uk

Submitted: May 5, 2026, 1:37:38 PMCompleted: May 5, 2026, 1:39:27 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is autodiscover.skillsedgestudent.co.uk and was registered NaN years ago.

Submitted URL: https://autodiscover.skillsedgestudent.co.uk

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

autodiscover.skillsedgestudent.co.uk

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

cryptocurrency blockchain

(73%)

Domain Information

The domain name 'autodiscover.skillsedgestudent.co.uk' uses the United Kingdom country-code top-level domain (.co.uk); it also runs on subdomain 'autodiscover'. Count 17 characters in 'skillsedgestudent' containing 5 vowels alongside 12 consonants. Segmentation suggests three words: skills, edge, student. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.skillsedgestudent.co.uk

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:379 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain73% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
73%
technology software
70%
news media journalism
62%
social media network
58%
adult content
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
240.99.150.104Frankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3048F77329A063986558498F45B83099F20B143F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:z/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP42bMy8OldX:UhoC9JSqzzbs6okSjggcpsQ2eAx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188050:FAJInMMRITzGAgZggIIYUhopAcCKoKswFCDBkACQI6CA2QQIQwdgzcVEYoMDTAGJtVIBhNDUwSEBkDyDIkBQjABMYQIEUYQw

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339accccb33364
Difference Hash:00181c1616000000
Wavelet Hash:3f1f0307033f0f0f
Color Hash:#406cbf

Other Hashes

Crop Resistant:00181c1616000000

Scan History

Scan history not available

Unable to load historical scan data