Security Scan Report: automated-whatapp.hl.cn

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Jul 8, 2026, 8:00:52 PMCompleted: Jul 8, 2026, 8:02:13 PMpubliccompleted
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Summary

This website contacted 36 IPs in 4 countries across 16 domains to perform 436 HTTP transactions. The main domain is bing.com and was registered NaN years ago.

Submitted URL: http://automated-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

You're looking at domain 'automated-whatapp.hl.cn' on the Chinese country-code top-level domain (.hl.cn) and has no subdomain. The registrable portion 'automated-whatapp' spans 17 characters with 7 vowels and nine consonants, plus one hyphen. Tokenizing the label suggests three words: automated, what, app. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://automated-whatapp.hl.cn/

Page Load Overview

1.14s
Total Load Time
436
HTTP Requests
16
Domains
8.5 MB
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:4,846 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
1623.207.210.139Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
122.16.204.141Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
122.21.20.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
122.16.204.153Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1220.209.179.65Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
122.16.204.146Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
122.16.204.149Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
122.16.204.152Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1220.42.73.24Azure · CLOUDUnited States
AS8075Microsoft Corporation
1223.53.40.82Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
43636--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1949E26A484303F412B47D4E4DB5B0E73275117AA964F20ED58D22C8BEDFDB1933A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:J7TBosSHfcU8GraIsJcYtsUWMoJLVVQM/UW12Jaayh+CILSm2dP:/osSHPaIsJcYtsUWMoJLVVQM/UWYd3SB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:423649:hkGCwCBCKAIKAwEqCIQACiBIL5kAjGpHQkh4RXvt0DKCSIEInAgCUWPTYASLVAvwGGV4JwClEItDDINAhFAEFMaCBBBIAURB

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:0008fcc08083ffff
Perceptual Hash:fd4286376870b7c2
Difference Hash:1e716593130e7657
Wavelet Hash:003cf0d88083ffff
Color Hash:#2d8637

Scan History

Scan history not available

Unable to load historical scan data