Security Scan Report: modern-whatapp.hl.cn

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Jul 8, 2026, 10:07:29 PMCompleted: Jul 8, 2026, 10:08:40 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 3 domains to perform 40 HTTP transactions. The main domain is bing.com and was registered NaN years ago.

Submitted URL: https://modern-whatapp.hl.cn/

Effective URL: https://www.bing.com/Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site impersonates Microsoft Bing via meta tags on an unrelated, unranked domain, triggering high risk despite lack of credential forms.

Risk Factors
Brand impersonation (mismatched brand in meta tags)
High JavaScript obfuscation and anti‑analysis techniques
Unranked, low‑reputation domain
Redirect to www.bing.com may be used to lend false legitimacy
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(69%)

Domain Information

The domain 'modern-whatapp.hl.cn' uses the Chinese country-code top-level domain (.hl.cn) without a subdomain. Its registrable label 'modern-whatapp' stretches across 14 characters with four vowels and nine consonants, plus 1 hyphen. Tokenizing the label suggests three words: modern, what, app. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://modern-whatapp.hl.cn/

Page Load Overview

1.73s
Total Load Time
40
HTTP Requests
3
Domains
583 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:4,801 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network69% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
69%
technology software
42%
government public service
36%
documentation technical
31%
blog personal website
30%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
82.16.241.222Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
82.16.241.207Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
82.16.241.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8154.206.236.1Seychelles
AS9294GNET INC.
82.16.241.218Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
405--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131949F2AA484303F412B47E4E49B5B0E73275117BA968F20ED58D22C87EDFDB1533A5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:+7xBosSHFcUzb4aqfnTAl1CPUUjo9ttjQppe0lifl7LfmlFm:mosSH8aqfnTAl1CPUUjo9ttjQppXSJfv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:421577:BAhiNEFCISjQIThCkgrkkUAwlTokE6Ghx3tAMMC5iClGBAgilD8CI4oIgDQDCAQjqRNwCAklKw2SDMCCpAJygEAwxCAVwLOA

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:033f27010003ffff
Perceptual Hash:ae3bf5287871045e
Difference Hash:366fee1935eece57
Wavelet Hash:03bf07010103ffff
Color Hash:#d46ce0

Scan History

Scan history not available

Unable to load historical scan data