Summary
This website contacted 9 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is modelmathgurufave-p2mghysenw.edgeone.app and was registered NaN years ago.
Submitted URL: https://modelmathgurufave-p2mghysenw.edgeone.app/10529-30-facts-about-peggy-sulahian.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 80%
The site hosts an article but links to a known malicious domain and operates from a newly created subdomain on a low‑reputation host, indicating a high risk of malware distribution.
Risk Factors
Details
Page Title
30 Facts about Peggy Sulahian
Scan Type
public
Language
English
Category
entertainment media
(96%)Domain Information
Domain 'modelmathgurufave-p2mghysenw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'modelmathgurufave-p2mghysenw'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. The median word length lands 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 |
|---|---|---|---|
| 3 | 172.240.108.76 | United States | AS7979Servers.com, Inc. |
| 2 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.127.234 | United States | AS7979Servers.com, Inc. |
| 2 | 142.251.127.95 | United States | AS15169Google LLC |
| 2 | 104.18.10.207 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.67.150.240 | United States | AS13335Cloudflare, Inc. |
| 2 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.20.94 | United States | AS15169Google LLC |
| 19 | 9 | - | - |
Detected Technologies4
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