Summary
This website contacted 19 IPs in 4 countries across 20 domains to perform 2 HTTP transactions. The main domain is vqmfblog-dp6lsgnqgzmb.edgeone.app and was registered NaN years ago.
Submitted URL: https://vqmfblog-dp6lsgnqgzmb.edgeone.app/
AI Security Verdict
Low Risk
Confidence: 92%
The site shows no malicious forms, IoCs, or malware; only unknown subdomain age and lack of reputation keep it at low risk.
Risk Factors
Safety Factors
Details
Page Title
George Natembeya Threatens to Hire Ugandan Doctors if Strike Continues: "Ni Kusema Tu Nina Vacancy"
Scan Type
public
Language
English
Category
entertainment media
(86%)Domain Information
The domain 'vqmfblog-dp6lsgnqgzmb.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'vqmfblog-dp6lsgnqgzmb'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Word splitting yields two words: edge, one. Median word length comes out to 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 | 146.75.120.155 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 172.67.74.163 | United States | AS13335Cloudflare, Inc. |
| 2 | 54.192.35.93 | United States | AS16509Amazon.com, Inc. |
| 2 | 172.67.69.243 | United States | AS13335Cloudflare, Inc. |
| 2 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 2 | 192.124.249.53 | Menifee, California, United States | AS30148Sucuri |
| 2 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 142.251.14.95 | United States | AS15169Google LLC |
| 42 | 19 | - | - |
Detected Technologies4
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