Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is cewsmmbybit.pages.dev and was registered NaN years ago.
Submitted URL: http://cewsmmbybit.pages.dev/
Effective URL: https://cewsmmbybit.pages.dev/Redirected
AI Security Verdict
High Risk
Confidence: 85%
Impersonates Bybit deposit page and attempts crypto phishing; do not provide any information.
Risk Factors
Details
Page Title
CEW SMM - Bybit Deposit
Scan Type
public
Language
English
Category
finance banking
(31%)Domain Information
The domain name 'cewsmmbybit.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'cewsmmbybit'. Count 5 characters in 'pages' holding two vowels versus three consonants. Splitting it apart reveals 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 |
|---|---|---|---|
| 5 | 142.250.201.170 | United States | AS15169Google LLC |
| 3 | 149.154.167.99 | London, England, United Kingdom | AS62041Telegram Messenger Inc |
| 3 | 142.250.201.67 | United States | AS15169Google LLC |
| 3 | 172.66.47.43 | United States | Unknown |
| 14 | 4 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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