Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 10 HTTP transactions. The main domain is camforitsitus-xy0ccbiagl.edgeone.app and was registered NaN years ago.
Submitted URL: https://camforitsitus-xy0ccbiagl.edgeone.app/22804-how-did-wiz-khalifa-get-his-name.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 70%
The site appears to be a low‑risk informational article with no phishing or malware indicators, though the subdomain is newly created and has a low reputation.
Risk Factors
Safety Factors
Details
Page Title
How Did Wiz Khalifa Get His Name?
Scan Type
public
Language
English
Category
corporate
(35%)Domain Information
Within the application-focused generic top-level domain (.app), 'camforitsitus-xy0ccbiagl.edgeone.app' is registered with subdomain 'camforitsitus-xy0ccbiagl'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three 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 |
|---|---|---|---|
| 3 | 192.178.183.95 | United States | AS15169Google LLC |
| 2 | 142.251.20.94 | United States | AS15169Google LLC |
| 2 | 104.18.11.207 | United States | AS13335Cloudflare, Inc. |
| 2 | 101.33.10.10 | Frankfurt am Main, Hesse, Germany | AS139341ACE |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 2 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 2 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.127.244 | United States | AS7979Servers.com, Inc. |
| 17 | 8 | - | - |
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