Summary
This website contacted 1 IP in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is facebook.com and was registered 22 years ago.
Submitted URL: https://vqnxt72crwj-ypqcx64ypq-9e6f1c-sfm51t.pages.dev/
Effective URL: https://www.facebook.com/Redirected
AI Security Verdict
High Risk
Confidence: 82%
The page mimics Facebook, hosts a login form on an unknown‑age, unranked pages.dev subdomain, indicating credential phishing.
Risk Factors
Details
Page Title
Meta for Business | Page Appeal
Scan Type
public
Language
English
Category
social media network
(46%)Domain Information
The domain name 'vqnxt72crwj-ypqcx64ypq-9e6f1c-sfm51t.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'vqnxt72crwj-ypqcx64ypq-9e6f1c-sfm51t'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Segmentation suggests one word: pages. The median word length lands at five 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 |
|---|---|---|---|
| 37 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 37 | 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