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Security Scan Report: amg-whatsapp.com

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2254389c-7754-4281-958c-b47a48f8ee52Domain and IP registration (RDAP)/api/v1/rdap/2254389c-7754-4281-958c-b47a48f8ee52How often this domain was scanned/api/v1/domain/stats/amg-whatsapp.comScan history for this domain/api/v1/domain/history/amg-whatsapp.com?limit=15
This website contacted 32 IPs in 5 countries across 16 domains to perform 429 HTTP transactions. The main domain is amg-whatsapp.com and was registered 1 week ago.

Submitted URL: http://amg-whatsapp.com

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Redirect chain from a low-reputation entry host lands on Bing's own established search page; no credential or payment forms, no malware, no impersonation. Safe.

Safety Factors (5)
Final destination is the brand owner's own domain (bing.com), not a lookalike — settles the brand question
No password, payment, or credential-harvesting fields on the page
No cross-origin form submission or JavaScript credential exfiltration
No YARA or native-YARA malware patterns and no IDS phishing/malware alerts
Page content is ordinary Bing news/search aggregation with standard cookie-consent text
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Domain Name Analysis

The domain 'amg-whatsapp.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'amg-whatsapp' is 12 characters long containing three vowels alongside eight consonants; bonus characters include one hyphen. It segments into 4 words: amg, what, s, app. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://amg-whatsapp.com

Page Load Overview

2.87s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:5,116 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network67% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
67%
technology software
46%
government public service
38%
blog personal website
28%
corporate business
27%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2623.36.162.87Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
1323.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.21.110.200Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1323.45.99.48Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
13150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
13150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
1320.42.73.29Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
1323.207.210.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13184.24.77.27Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42932--

Detected Technologies2

X-UA-Compatible
100%
Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164949E6AA441303E412B43D1E4DA9B0E73275117FA864E20ED58D22C9BEDFDF1533A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:rhReJIH5cRpcnaBdr2aAVbekGDCW7chu6DY/Px++u/XPrGBy:DeJIH9aBdr2aAVbekGDCW7chu6DE5+rf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:448400:ABIZEJSwdABaKZgCMpEnHgIUBBY4ISo+RBCyIAgBADVAAKrAiFCAQcvcEwACamoBDakAU06pQZgqMgAo4OmAtBIERWUgbzoE

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:007cf8f0005affff
Perceptual Hash:d053a7206ab93cee
Difference Hash:c9c82890a1b29657
Wavelet Hash:003cf0f0005affff
Color Hash:#931f3c

Other Hashes

Crop Resistant:c9c82890a1b29657,a4e67634b0b8a8c3,8dc848209080a192,92972f1e32284af6,3b7b7b6b1f1915f6,292949494858585c

Scan History

Scan history not available

Unable to load historical scan data