Summary
This website contacted 3 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is t.me and was registered NaN years ago.
Submitted URL: http://fukk.pw
Effective URL: https://t.me/owkcheqbot?start=openRedirected
AI Security Verdict
High Risk
Confidence: 82%
The site impersonates Telegram using an unranked domain without any credential collection; treat as high‑risk phishing and report.
Risk Factors
Details
Page Title
Telegram: Launch @owkcheqbot
Scan Type
public
Language
English
Category
social media network
(95%)Domain Information
Domain 'fukk.pw' uses the .pw country-code top-level domain with no subdomain. Its registrable label 'fukk' stretches across 4 characters containing one vowel alongside 3 consonants. Breaking it apart gives two words: fu, kk. Expect two characters per word on average. 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 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 3 | 149.154.175.204 | Amsterdam, North Holland, Netherlands | AS59930Telegram Messenger Inc |
| 3 | 149.154.167.99 | Amsterdam, North Holland, Netherlands | AS62041Telegram Messenger Inc |
| 11 | 3 | - | - |
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