Security Scan Report: personal-rhul-ac-uk-znac213-m1kud73uc7.edgeone.app

Submitted: Apr 7, 2026, 7:38:55 PMCompleted: Apr 7, 2026, 7:40:05 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 personal-rhul-ac-uk-znac213-m1kud73uc7.edgeone.app and was registered NaN years ago.

Submitted URL: https://personal-rhul-ac-uk-znac213-m1kud73uc7.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No external domains or cross‑origin requests
Hosted on a known platform (edgeone.app) with no malicious activity observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'personal-rhul-ac-uk-znac213-m1kud73uc7.edgeone.app' is registered; it also runs on subdomain 'personal-rhul-ac-uk-znac213-m1kud73uc7'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://personal-rhul-ac-uk-znac213-m1kud73uc7.edgeone.app/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:72 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
70%
news media journalism
51%
healthcare medical
51%
government public service
50%
education learning
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B02C6CAEBA705C8682BC0682FFF5724222DE057C448CD5DB9AE5F548F4528875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBkh1RaXQl:KrzhNK/lMHmGgdkqNd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8746:IAWi1nwSJaMQPR8eA02AhACiTACEDQQgMFAJKAADyDOSAIEIIMR0wwKCCY8CANaAgzidVQAmTERaBInJIEIGCToaPC6WAAEB

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#533a78

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data