Security Scan Report: teespringshophugo-0m17euibfp.edgeone.app

Site favicon
Submitted: May 20, 2026, 7:18:00 PMCompleted: May 20, 2026, 7:19:57 PMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is teespringshophugo-0m17euibfp.edgeone.app and was registered NaN years ago.

Submitted URL: https://teespringshophugo-0m17euibfp.edgeone.app/2023-jubilation-as-sanwo-olu-confirms-new-wage-award-for-workers-gives-details.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk site with no malicious indicators; appears to be a legitimate news article.

Risk Factors
Subdomain on edgeone.app with unknown creation date (could be newly created)
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors
No credential exfiltration or cross‑origin form submissions
No brand impersonation; article reports on a public figure
No payment or login forms present
Domain age information unavailable

Details

Page Title

Jubilation as Sanwo-Olu Confirms New Wage Award for Workers, Gives Details

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

The domain name 'teespringshophugo-0m17euibfp.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'teespringshophugo-0m17euibfp'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teespringshophugo-0m17euibfp.edgeone.app/2023-jubilation-as-sanwo-olu-confirms-new-wage-award-for-workers-gives-details.html

Page Load Overview

47.21s
Total Load Time
19
HTTP Requests
12
Domains
24 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-US
Text Length:3,548 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
88%
news media journalism
75%
blog personal website
57%
adult content
46%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.110.94United States
AS15169Google LLC
2172.240.253.132United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2192.178.183.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
197--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19662EA23A694253C67330391F5C1F3BD7D2D802AE3828C9068EDB729D7C6AD7653268D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GMhnYf8zX+0tJKJpJ/cW62yRFPJLee+7YYrWag4MDw:FMhnz+0qJUIyPYmYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14763:8eAQxCCEKABRUibQQIrBBFyoYAAB5QI4hYBZgipHrshCxACmQgQ44AKwAAZwYWAS0ZKIGhZjnuHBKSghGJAIoKRkIIUUowko

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:0000003c240000ff
Perceptual Hash:c343ed4b961e9634
Difference Hash:e0c0d4d0d0c80000
Wavelet Hash:3c383c3c7c3c00ff
Color Hash:#3a5a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data