Summary
This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is legallinghugo-ibvoslm3kx.edgeone.app and was registered NaN years ago.
Submitted URL: https://legallinghugo-ibvoslm3kx.edgeone.app/14019-all-the-clues-eamonn-holmes-was-set-to-quit-this-morning-months-ago.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 78%
The site shows a critical malware alert, unknown subdomain age, low reputation and heavily obfuscated JavaScript, indicating a high‑risk malicious page.
Risk Factors
Details
Page Title
All the clues Eamonn Holmes was set to quit This Morning months ago
Scan Type
public
Language
English
Category
social media network
(52%)Domain Information
The domain name 'legallinghugo-ibvoslm3kx.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'legallinghugo-ibvoslm3kx'. Count 7 characters in 'edgeone' with four vowels and three consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 192.178.183.95 | United States | AS15169Google LLC |
| 2 | 172.240.127.244 | United States | AS7979Servers.com, Inc. |
| 2 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.127.94 | United States | AS15169Google LLC |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 18 | 7 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data