Summary
API
This website contacted 3 IPs in 1 country across 18 domains to perform 42 HTTP transactions. The main domain is orangezainumniah-gb.pages.dev and was registered 6 years ago.
Submitted URL: http://jogbtren.pages.dev
Effective URL:
AI Security Verdict
Low Risk
Confidence: 72%
The page impersonates telecom brands on an unknown‑age hosting subdomain, lacks credential forms, but shows moderate risk due to brand mismatch and a high‑severity IDS alert.
Risk Factors (4)
Safety Factors (5)
Details
Page Title
حزمة بيانات الأردن ٢٠٢٥
Scan Type
public
Domain Name Analysis
Within the developer-focused generic top-level domain (.dev), 'jogbtren.pages.dev' is registered, featuring subdomain 'jogbtren'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Breaking it apart gives one word: pages. Average segment length settles at 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 |
|---|---|---|---|
| 14 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 14 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 14 | 67.199.248.10 | United States | AS396982Google LLC |
| 42 | 3 | - | - |
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