Summary
This website contacted 2 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is ewt6342382379.pages.dev and was registered NaN years ago.
Submitted URL: https://ewt6342382379.pages.dev/viewrequiement?email=alor8@70f24f6e6812dc29acb5485e405f391f4ba2.net
AI Security Verdict
Low Risk
Confidence: 72%
Page mimics WeTransfer brand on an unranked hosting subdomain, lacks forms or malicious indicators; moderate risk.
Risk Factors
Safety Factors
Details
Page Title
WeTransfer
Scan Type
public
Language
English
Category
download file sharing
(67%)Domain Information
The domain name 'ewt6342382379.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ewt6342382379'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Splitting it apart reveals 1 word: pages. Average segment length settles 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 |
|---|---|---|---|
| 4 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 62.210.172.150 | Paris, Île-de-France, France | AS12876Scaleway SAS |
| 8 | 2 | - | - |
Page Statistics
Detected Technologies7
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