Security Scan Report: alb-whatsapp.com

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 42 IPs in 6 countries across 16 domains to perform 426 HTTP transactions. The main domain is alb-whatsapp.com and was registered 1 week ago.

Submitted URL: https://alb-whatsapp.com

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Risk Factors (2)
Off-site funnel: a domain carrying an unverified abuse-reputation tag (alb-whatsapp.com) silently redirects visitors to an unrelated search engine
Anti-analysis JavaScript on the capture disables F12/Ctrl+Shift+I/Ctrl+U and right-click
Safety Factors (2)
Final destination www.bing.com is an established site (top 100 in Cisco Umbrella) and the destination equals the brand named in the page title/meta, so no brand impersonation occurs
Page content is ordinary search-engine markup with Microsoft privacy/terms links
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Domain Name Analysis

The domain 'alb-whatsapp.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'alb-whatsapp' is 12 characters long with 3 vowels and 8 consonants; bonus characters include 1 hyphen. Tokenizing the label suggests four words: alb, what, s, app. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alb-whatsapp.com

Page Load Overview

2.08s
Total Load Time
10.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:5,082 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
1692.123.104.13Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
1023.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.21.20.140Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1023.45.99.48Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
10150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
1051.132.193.111Azure · CLOUDLondon, England, United Kingdom
AS8075Microsoft Corporation
10150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
10184.24.77.7Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1020.190.160.5Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
42642--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EA48E6AE541303A412B43D0E4DA5B0EB3275117FA864E20ED58D22C9BEDFDF1533A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:r1ReJIH0cRJjnamCDCLLCQZo8HBjv2O0vPrevam+i1XjFGsw:veJIH7amCDCLLCQZo8HBjv2O0vPqCUFK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:452952:GMAJxMqsqTDJoIApQYC9ECSEhBEMQhCsAEQDHERYEWC2L4wGoczBC7gUIQABugYaOlIDj8mBSBCAI50UGQNhkkEDRpIAeCEI

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:007cf8f02078ffff
Perceptual Hash:c153b7032ab8747e
Difference Hash:cdc82890c9e2b257
Wavelet Hash:003cf0f00078ffff
Color Hash:#8479d2

Scan History

Scan history not available

Unable to load historical scan data