Summary
This website contacted 38 IPs in 6 countries across 11 domains to perform 29 HTTP transactions. The main domain is ww38.afdah.me and was registered NaN years ago.
Submitted URL: https://afdah.me/
Effective URL: http://ww38.afdah.me/Redirected
The Cisco Umbrella rank of the primary domain is #842,519 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
Site shows multiple malicious indicators and redirect abuse; treat as high‑risk.
Risk Factors
Details
Page Title
afdah.me
Scan Type
public
Language
German
Category
unknown
(0%)Domain Information
You're looking at domain 'afdah.me' on the Montenegrin country-code top-level domain (.me) and has no subdomain. The registrable portion 'afdah' spans 5 characters with two vowels and three consonants. Segmentation suggests two words: af, dah. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 29 | 13.35.58.81 | United States | AS16509AMAZON-02 |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 199.191.50.135 | British Virgin Islands | AS40034CONFLUENCE-NETWORK-INC |
| 0 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 87.248.119.251 | United Kingdom | AS203220Yahoo-UK Limited |
| 0 | 34.251.101.162 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 0 | 103.224.212.216 | Australia | AS133618Trellian Pty. Limited |
| 0 | 3.248.162.96 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 29 | 38 | - | - |
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