Security Scan Report: powerful-whatapp.hl.cn

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Jul 10, 2026, 2:22:07 AMCompleted: Jul 10, 2026, 2:23:33 AMpubliccompleted
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Summary

This website contacted 26 IPs in 5 countries across 14 domains to perform 411 HTTP transactions. The main domain is bing.com and was registered NaN years ago.

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

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

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Site impersonates Microsoft Bing on an unrelated domain and is flagged by threat intel; treat as high‑risk phishing.

Risk Factors
Primary domain Indicators of Compromise
Brand impersonation without matching domain
Anti‑analysis JavaScript (devtools/right‑click blocking)
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 'powerful-whatapp.hl.cn' on the Chinese country-code top-level domain (.hl.cn) without a subdomain. The core label 'powerful-whatapp' covers 16 characters holding 5 vowels versus ten consonants, along with one hyphen. Breaking it apart gives 3 words: powerful, what, app. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.12s
Total Load Time
411
HTTP Requests
14
Domains
5.0 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:4,612 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
362.21.20.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1520.190.160.14Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
15150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
15104.102.18.52Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1520.184.175.11Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
1592.123.104.31Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
15150.171.109.34Azure · CLOUDUnited States
AS8075Microsoft Corporation
1523.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1592.123.104.32Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.16.10.139Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
41126--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4949E2AA584303F412B47D0E4DA5B0E73175117BA964F20ED58D22C8BEDFDB1933A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:r7RBosSHdcUSgsagHWXvjZ8z1eyCEjeL442EGQ4Rf99h+1zLSmcFQ:fosSH6agHWXvjZ8z1eyCEjI442EpcOSI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:421667:BRAAg2ACFgRoESjCzUNwigC0VQiAhqAgJfwAANCTJAFEQhSsYSRkQBzEQACyBSNKcQYLwGBgCANgCAiABC2w0CpABZ6HYQQR

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:243c28200002ffff
Perceptual Hash:8743be3472ad216b
Difference Hash:cccccac99b967657
Wavelet Hash:243c3074001effff
Color Hash:#783a4a

Scan History

Scan history not available

Unable to load historical scan data