Security Scan Report: buc-whatsapp.com

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 50 IPs in 6 countries across 16 domains to perform 435 HTTP transactions. The main domain is buc-whatsapp.com and was registered 1 week ago.

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

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Redirect chain from buc-whatsapp.com lands on Microsoft Bing's own established site; the page shows only search forms and news content, with no credential/payment capture and no malware evidence. Only weak, generic reputation tags on the redirector.

Safety Factors (5)
Final destination is bing.com, an established official Microsoft domain (#84 in Cisco Umbrella top 1M)
No credential, login or payment fields on the page
No Indicators of Compromise for content malware, no YARA match, no IDS alert, no Safe Browsing hit
Resources loaded from first-party Microsoft infrastructure (bing.com, msn.com, live.com, microsoftonline.com)
Standard cookie/consent notice and Microsoft privacy/terms links present
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Domain Name Analysis

Domain 'buc-whatsapp.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Count 12 characters in 'buc-whatsapp' with 3 vowels and eight consonants, plus one hyphen. Word splitting yields five words: bu, c, what, s, app. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.26s
Total Load Time
8.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:5,017 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
432.16.204.138Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
8156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
823.207.210.139Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.48.23.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.45.99.48Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
8150.171.109.106Azure · CLOUDUnited States
AS8075Microsoft Corporation
8150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
840.79.167.9Azure · CLOUDSydney, New South Wales, Australia
AS8075Microsoft Corporation
823.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8184.24.77.37Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
43550--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135A49E2AE441303E412B43D1E4DA9B0E73275517EA864E20ED58D22C9BEDFDF1533A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:rMReJIHNcRyOiadUz3ugQ/vBe/Ze0K5wSrvCxBy+PXXP8Gzb:ueJIHradUz3ugQ/vBe/Ze0K5wSr6r18Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:455067:GKAJ4oCGUgUnBEYohpAEMKSxMAWkEYgiZBC6oKcQANYGAJAhoQgIAMkPXYLHK2QAAQ4waAzKQLAWE8QDCSECTgiIUAwhgFBC

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data