Security Scan Report: accessible-whatapp.hl.cn

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Jul 7, 2026, 5:08:44 PMCompleted: Jul 7, 2026, 5:10:11 PMpubliccompleted
Loading additional data...

Summary

This website contacted 31 IPs in 5 countries across 13 domains to perform 417 HTTP transactions. The main domain is bing.com and was registered NaN years ago.

Submitted URL: http://accessible-whatapp.hl.cn/

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site mimics Microsoft Bing in its meta tags but lacks any credential collection; overall risk is low.

Risk Factors
Brand impersonation (Microsoft Bing) on a mismatched, unranked domain
Domain is unranked in Cisco Umbrella top‑1M
JavaScript blocks DevTools and right‑click (minor anti‑analysis technique)
Safety Factors
Very old domain registration (over 30 years)
No malicious network activity or known threat intelligence hits
No credential or payment collection mechanisms
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 'accessible-whatapp.hl.cn' on the Chinese country-code top-level domain (.hl.cn) without a subdomain. Its registrable label 'accessible-whatapp' stretches across 18 characters split between 6 vowels and 11 consonants, along with 1 hyphen. Word splitting yields three words: accessible, what, app. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.72s
Total Load Time
417
HTTP Requests
13
Domains
4.7 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:4,877 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
27150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
1392.123.104.57Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.16.204.151Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1392.123.104.48Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.16.204.158Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1392.123.104.56Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.18.64.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1323.53.40.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.16.204.156Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1392.123.104.36Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
41731--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D949E26A484303F412B47D4E49B5B0E73275117AA968F20ED58D22C87EDFDB1933E6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:X7nBosSHdcUgZbaub3qcI4kuJ+y2ovzO2oBeGIjQh+6oLSmaFc:1osSHoaub3qcI4kuJ+y2ovzO2oBzEtSs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:422969:kIAAgUWkHADgFMAxWLlElAAfJBBqAgUKkKXCwBeAbEaOTQADDhAGsgJFIAlAAQkBUCUuDBIppTCABd6LSjFJyCmBA7FyxSgR

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:006430000073ffff
Perceptual Hash:e072b43179e52d4b
Difference Hash:9facc7c713c6c657
Wavelet Hash:00fe2120007bffff
Color Hash:#79d292

Scan History

Scan history not available

Unable to load historical scan data