SCAN INCOMPLETE - LIMITED DATA COLLECTED

There were problems collecting data from this website

The website may be blocking automated browsers (bot protection)
The site may be using geo-blocking or rate limiting
Network connectivity issues may have prevented access

LIMITED DATA

Note: There were problems collecting data during this scan, and some information may be missing or incomplete. The security analysis below is based on limited information and may not be accurate. Consider trying the scan again.

Security Scan Report: lohan-whatsapp.cc

Page Did Not Load

This site did not respond consistently during our scan — it may be intermittently unreachable, or refusing automated visitors. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is lohan-whatsapp.cc and was registered 3 days ago.

Submitted URL: https://lohan-whatsapp.cc

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: failed capture (browser never reached the site) with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

lohan-whatsapp.ccother network

Scan Type

public

Domain Name Analysis

Within the .cc country-code top-level domain, 'lohan-whatsapp.cc' is registered while skipping any subdomain. Count 14 characters in 'lohan-whatsapp' holding four vowels versus nine consonants, plus 1 hyphen. It segments into 4 words: lohan, what, s, app. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lohan-whatsapp.cc

Page Load Overview

75.10s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7 chars
Detector Agreement:0%

Website Classification

Primary Category

social media network89% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
89%
news media journalism
65%
documentation technical
61%
adult content
57%
entertainment media
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1223.26.62.57Hong Kong
AS152194CTG Server Limited
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1048F773296063986558498F05B43099F21B143F50AC8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:i/Qho9PKBbl8Vrq9Jzbs6tlg1ySBKw4Q9gcoIsPU2bMy8Old/:DhoCl8Bqzzbs6okSCggcpsM2eAR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185341:xgCgCoiJJFICgjEBqojHAg6AIcxvIFFOMQCQ8AUZNoADIgRReOQALtEIAaIgPAQgMUALA2gwmC0jiIUQEEukBADBSlQBm0Uw

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

Average Hash:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc273333
Difference Hash:00181c1800000000
Wavelet Hash:2f0f030f0f0f0f0f
Color Hash:#c7e06c

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data