Summary
This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is repeg-apyx-fi.app and was registered NaN years ago.
Submitted URL: https://repeg-apyx-fi.app/
AI Security Verdict
High Risk
Confidence: 72%
New, unranked site with a Spamhaus DROP alert; no forms but high‑risk indicators suggest malicious use.
Risk Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
New Tab
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'repeg-apyx-fi.app' uses the application-focused generic top-level domain (.app) without a subdomain. The second-level label 'repeg-apyx-fi' is 13 characters long split between 4 vowels and seven consonants, notching 2 hyphens. Segmentation suggests 5 words: re, peg, a, pyx, fi. Expect 2 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 |
|---|---|---|---|
| 4 | 196.251.107.102 | Germany | AS214351Femo It Solutions Limited |
| 4 | 1 | - | - |
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