Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is facefreshenersfave-7bfukbb0tt.edgeone.app and was registered NaN years ago.
Submitted URL: https://facefreshenersfave-7bfukbb0tt.edgeone.app/14312-what-would-happen-if-nobody-voted-in-the-general-election-would-the-government-of-the-day-keep-powe.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 75%
Page loads a flagged malicious third‑party script and has an unknown‑age subdomain with low reputation, resulting in a high‑risk classification.
Risk Factors
Details
Page Title
What would happen if nobody voted in the general election? Would the government of the day keep powe
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Within the application-focused generic top-level domain (.app), 'facefreshenersfave-7bfukbb0tt.edgeone.app' is registered; it also runs on subdomain 'facefreshenersfave-7bfukbb0tt'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Segmentation suggests 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 |
|---|---|---|---|
| 4 | 192.178.183.94 | United States | AS15169Google LLC |
| 2 | 172.240.127.243 | United States | AS7979Servers.com, Inc. |
| 2 | 142.251.127.95 | United States | AS15169Google LLC |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.127.244 | United States | AS7979Servers.com, Inc. |
| 2 | 104.20.7.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 2 | 43.152.26.58 | Singapore | AS139341ACE |
| 18 | 8 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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