Summary
API
Submitted URL: https://marketingienthugo-fto5h6bmm2.edgeone.app/
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 78%
The site shows moderate risk due to unknown subdomain age, low reputation, high script obfuscation and multiple redirects, but lacks forms or malicious indicators.
Risk Factors (4)
Safety Factors (4)
Details
Page Title
Measuring The Success of an Influencer Marketing Project
Scan Type
public
Domain Name Analysis
Within the application-focused generic top-level domain (.app), 'marketingienthugo-fto5h6bmm2.edgeone.app' is registered and includes subdomain 'marketingienthugo-fto5h6bmm2'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests 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 |
|---|---|---|---|
| 12 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 173.231.240.163 | United States | AS54641InMotion Hosting, Inc. |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.67.74.163 | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.14.94 | United States | AS15169Google LLC |
| 2 | 142.250.154.95 | United States | AS15169Google LLC |
| 2 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 2 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 2 | 18.172.112.19 | United States | AS16509Amazon.com, Inc. |
| 56 | 23 | - | - |
Detected Technologies5
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