Security Scan Report: www.contoso.com

Redirected to:
https://www.microsoft.com/de-de
Submitted: Jul 19, 2026, 9:51:24 PMCompleted: Jul 19, 2026, 9:52:44 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is microsoft.com and was registered NaN years ago.

Submitted URL: https://www.contoso.com

Effective URL: https://www.microsoft.com/de-deRedirected

The Cisco Umbrella rank of the primary domain is #261,415 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site mimics Microsoft branding on an unrelated, low‑rank domain but lacks credential collection; treat as moderate risk.

Risk Factors
Brand impersonation (brand name in meta tags does not match domain)
Low domain ranking for a high‑profile brand
Safety Factors
Domain is well‑established (35+ years old)
No malicious JavaScript or obfuscation
No credential or payment collection forms
No network‑level IDS or threat‑intel matches
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Microsoft – AI, Cloud, Produktivität, Computing, Gaming und Apps

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(87%)

Domain Information

The domain name 'www.contoso.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'contoso' spans 7 characters containing three vowels alongside four consonants. It segments into 3 words: con, to, so. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.contoso.com

Page Load Overview

8.43s
Total Load Time
204
HTTP Requests
11
Domains
2.7 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-DE
Text Length:5,503 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software87% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
87%
corporate
25%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3423.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3420.76.201.171Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
3423.36.162.222Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
34150.171.109.194Azure · CLOUDUnited States
AS8075Microsoft Corporation
3423.56.203.142Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
34146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2046--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105348325F034B83FA15E32F0E2D05B85B6276763E18A5FE1B0DDC6685F42B945F2B908

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Lndc5qOAsdA+T72z5zEIGHvHONCnCkfazdJmceaDESJzDPEkMjv2kPMnbaB0b4H:LdcWsO1zEyhWBt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:243285:gSdAEgIgA5ky4qkpJmohPhKAXRFQEhIiEgBYSNOAAFmCFpYAqcIhSSJFKiIM+gBgFUQAp0EAAgVHgAQEQAYypcR3U0xEBHRg

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:fffff191b1bbffff
Perceptual Hash:ed4892966a6ea599
Difference Hash:7558532773628d16
Wavelet Hash:0cff010080b1ffff
Color Hash:#6c3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data