Security Scan Report: gateway.bingviz.microsoftapp.net

Redirected to:
https://www.bing.com/
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Submitted: Jul 11, 2026, 7:56:08 PMCompleted: Jul 11, 2026, 7:57:31 PMpubliccompleted
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Summary

This website contacted 25 IPs in 3 countries across 14 domains to perform 376 HTTP transactions. The main domain is bing.com and was registered NaN years ago.

Submitted URL: https://gateway.bingviz.microsoftapp.net

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

The Cisco Umbrella rank of the primary domain is #2,365 of the top 1 million websitesTop 10K Site

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate, serving as a redirect to Bing with no credential harvesting; low risk.

Risk Factors
High JavaScript obfuscation score
DevTools and right‑click blocking
Safety Factors
Established domain with long registration history
Redirects to official Microsoft Bing site
No credential collection or payment processing
No malicious network or IDS alerts
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(69%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'gateway.bingviz.microsoftapp.net' is registered with subdomain 'gateway.bingviz'. The second-level label 'microsoftapp' is 12 characters long holding four vowels versus 8 consonants. Splitting it apart reveals 2 words: microsoft, app. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gateway.bingviz.microsoftapp.net

Page Load Overview

0.73s
Total Load Time
376
HTTP Requests
14
Domains
6.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:4,912 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network69% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
69%
technology software
42%
government public service
36%
documentation technical
31%
blog personal website
30%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1692.123.104.41Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
15104.102.18.52Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1592.123.104.49Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1592.123.104.33Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1523.53.40.72Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
154.150.223.100Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
1520.190.159.68Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1540.126.31.71Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
15150.171.109.36Azure · CLOUDUnited States
AS8075Microsoft Corporation
1592.123.104.26Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
37625--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113949E2AA484303F412B47E4E4DB5B0E73175117AA964F20ED58D22C87EDFDB1933A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Z7BBesSHLcURC5alHGl1GK0pJU59bMEIMC1Ozx4/h+bfLrm5/R:BesSHMalHGl1GK0pJU59bMEIMC1iaKrm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:428603:cAPawCJuEJbJYAGl4KlEhHAQlOvBoABAhEPGQCIlhAPIiQDGiCaIyRG0QBUgCiBQGBRHyIaoCKKmtMBdxSAEk6GCSllTyQBU

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:007ffd800002ffff
Perceptual Hash:824b85067afd5d6a
Difference Hash:d3c8d11989ee9657
Wavelet Hash:007f7dc00002ffff
Color Hash:#5371ac

Scan History

Scan history not available

Unable to load historical scan data