Summary
This website contacted 4 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is sdf32.pages.dev and was registered 6 years ago.
Submitted URL: https://sdf32.pages.dev/
AI Security Verdict
Low Risk
Confidence: 78%
The site is a high‑risk advance‑fee scam using a work‑from‑home lure and links to a known malicious domain.
Risk Factors
Safety Factors
Details
Page Title
Work At Home Special Report!
Scan Type
public
Language
English
Category
forum
(50%)Domain Information
The domain name 'sdf32.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sdf32'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Segmentation suggests one word: pages. 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 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 9 | 172.66.44.66Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 9 | 142.251.13.100Google · CDN | United States | AS15169Google LLC |
| 39 | 4 | - | - |
Page Statistics
Detected Technologies9
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