Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is facebook.com and was registered NaN years ago.
Submitted URL: https://hl8w-c0jq-fip-xy2l-n4yq-6lsk7i.pages.dev/
Effective URL: https://www.facebook.com/Redirected
AI Security Verdict
High Risk
Confidence: 85%
The site mimics Facebook login on an unknown‑age pages.dev subdomain, collects credentials and uses heavily obfuscated JavaScript, indicating a high‑risk phishing scam.
Risk Factors
Details
Page Title
Meta for Business | Page Appeal
Scan Type
public
Language
English
Category
social media network
(48%)Domain Information
Domain 'hl8w-c0jq-fip-xy2l-n4yq-6lsk7i.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'hl8w-c0jq-fip-xy2l-n4yq-6lsk7i'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside 3 consonants. Breaking it apart gives 1 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 |
|---|---|---|---|
| 22 | 172.66.47.87Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 22 | 1 | - | - |
Page Statistics
Detected Technologies3
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