Summary
This website contacted 9 IPs in 4 countries across 4 domains to perform 77 HTTP transactions. The main domain is app-vll-whatsappcc.com and was registered NaN years ago.
Submitted URL: https://app-vll-whatsappcc.com/
AI Security Verdict
Confirmed Scam
Confidence: 95%
Confirmed scam: WhatsApp brand impersonation on a brand‑new unranked domain.
Risk Factors
Details
Page Title
app-vll-whatsappcc.com
Scan Type
public
Language
ZXX
Category
social media network
(59%)Domain Information
Within the commercial generic top-level domain (.com), 'app-vll-whatsappcc.com' is registered without a subdomain. Count 18 characters in 'app-vll-whatsappcc' with 3 vowels and 13 consonants, along with two hyphens. Word splitting yields 6 words: app, v, ll, what, sap, pcc. Median word length comes out to 3 characters. The linguistic tilt is Slovenian for 'capp'. Secondary signals appear in Chinese (Pinyin) and Slovak. Net impression: Slovenian phrase with character flair.
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 |
|---|---|---|---|
| 13 | 43.174.229.41 | Singapore | AS139341ACE |
| 8 | 45.205.25.143 | New York, New York, United States | AS8796FD-298-8796 |
| 8 | 103.99.210.40 | Hong Kong | AS205960Hdtidc Limited |
| 8 | 49.71.39.36 | China | AS137697CHINATELECOM JiangSu YangZhou IDC networkdescr: YangZhouJiangsu Province, P.R.China. |
| 8 | 119.188.220.225 | China | AS4837CHINA UNICOM China169 Backbone |
| 8 | 45.205.25.17 | New York, New York, United States | AS8796FD-298-8796 |
| 8 | 210.56.49.234 | Hong Kong | AS152194CTG Server Limited |
| 8 | 43.174.227.42 | Singapore | AS139341ACE |
| 8 | 240d:c010:74:3::b9 | Singapore | AS139341ACE |
| 77 | 9 | - | - |
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
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