Security Scan Report: amf-whatsapp.com

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 43 IPs in 5 countries across 16 domains to perform 414 HTTP transactions. The main domain is amf-whatsapp.com and was registered 1 week ago.

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

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Entry domain amf-whatsapp.com redirected to Microsoft Bing's own search page; no credential or payment forms, no malware or phishing indicators, only unverified abuse-reputation reports on the redirector.

Risk Factors (3)
Anti-analysis behaviour observed: JavaScript blocks DevTools (F12/Ctrl+Shift+I/J/U) and right-click — a weak signal, uncommon on a stock Bing results page.
Navigation chain of 4 redirect hops with 3 cross-domain hops before landing on www.bing.com; the entry hostname amf-whatsapp.com does not correspond to any Microsoft property.
Two single-source, unverified threat-intel reports describe the ENTRY domain amf-whatsapp.com as a 'known attacker' (generic abuse-reputation tag only).
Safety Factors (3)
The rendered page is Microsoft Bing's own established site reached by cross-domain redirect — this settles the brand question and is not impersonation.
No credential or payment form, no password field, no cross-origin form submission, no credential exfiltration.
No malware, phishing or C2 indicators from YARA, kit roster, native scanner or network IDS.
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Domain Name Analysis

The domain 'amf-whatsapp.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 12 characters in 'amf-whatsapp' containing three vowels alongside 8 consonants, along with 1 hyphen. Word splitting yields 4 words: amf, 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://amf-whatsapp.com

Page Load Overview

3.96s
Total Load Time
5.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:5,101 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
3692.123.104.65Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
923.207.210.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
92.21.110.211Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
923.45.99.48Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
9150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
920.184.175.23Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
9150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
923.207.210.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9184.24.77.31Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
41443--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8A49D2AA441303E412B43D1E4DA5B0EB3275517FA864E20ED58D22C9BEDFDF1533A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:rYReJIHYcRhkFaNxHWSwJXesG/62Z/CiynWS7jm+XRXvcGYR:KeJIHGaNxHWSwJXesG/62Z/Ciyn9f7cd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:454628:CCtQABAAwfsBrgwhl0FDAAIgYkDFQmhMAXAghEKCQAR4lLIw0BhKMSTyEwhykwBtEV3AyFGRQBECIABogMDXAkwZUi7DhwgE

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:007cf8f0001affff
Perceptual Hash:d552a7206ab93cf2
Difference Hash:cdc82890a1b29657
Wavelet Hash:007cf0f0001affff
Color Hash:#afc587

Scan History

Scan history not available

Unable to load historical scan data