Security Scan Report: basiljayhugo-pc6ufai3a7.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 13 domains to perform 18 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://basiljayhugo-pc6ufai3a7.edgeone.app/17208-uk-unveils-plans-for-fitting-tribute-to-queen-elizabeth.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears to be a low‑risk article page with no forms or malicious indicators; minor concerns are the unknown subdomain age and low ranking.

Risk Factors (3)
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score
Safety Factors (4)
Page type is an article (og:type=article) – no brand impersonation
No credential or payment forms detected
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

UK unveils plans for fitting tribute to Queen Elizabeth

Scan Type

public

Domain Name Analysis

Domain 'basiljayhugo-pc6ufai3a7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'basiljayhugo-pc6ufai3a7'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://basiljayhugo-pc6ufai3a7.edgeone.app/17208-uk-unveils-plans-for-fitting-tribute-to-queen-elizabeth.html

Page Load Overview

15.01s
Total Load Time
145 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,559 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
45%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.110.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.20.94United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
188--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C52D673F28801387F230149F1D1F6BE7E398A16E7159DB054EAE32983C5ADB4A795C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+fhnYf8zX+131jf331yI31kN31XJKJtN8Cw3mRoSsT8GYYrWag4MDoq+:+fhnz+131jf331yI31kN31mpw3mRtUAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13301:KBAJAEygnoUByMJBBhx0QbCHAGUpLDhYcYhGyDXCWCOolUC4FQoiyZhCEIKEABCWdoBkcgRBQFACEgAYAC0JE5KFh4oJoIJg

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:38007c7e00000018
Perceptual Hash:cd678c67cda29832
Difference Hash:60c6d8c0c0324cb2
Wavelet Hash:ff787e7e7e000018
Color Hash:#add279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data