Summary
This website contacted 8 IPs in 2 countries across 3 domains to perform 41 HTTP transactions. The main domain is bing.com and was registered NaN years ago.
Submitted URL: https://trusted-whatapp.hl.cn/
Effective URL: https://www.bing.com/Redirected
AI Security Verdict
High Risk
Confidence: 78%
The site mimics Microsoft Bing in its meta tags but lacks credential collection; low risk due to old domain and no malicious activity.
Risk Factors
Details
Page Title
Suche – Microsoft Bing
Scan Type
public
Language
German
Category
social media network
(69%)Domain Information
You're looking at domain 'trusted-whatapp.hl.cn' on the Chinese country-code top-level domain (.hl.cn) without a subdomain. The second-level label 'trusted-whatapp' is 15 characters long split between four vowels and 10 consonants, notching one hyphen. Breaking it apart gives 3 words: trusted, what, app. The median word length lands at four characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 154.206.235.4 | Seychelles | AS9294GNET INC. |
| 5 | 92.123.104.19 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.53.42.176 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 92.123.104.12 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.53.42.169 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 92.123.104.30 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 92.123.104.17 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 92.123.104.26 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 41 | 8 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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