Summary
This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: http://microsoft-advertising.ketteell.com/
Effective URL: https://login.microsoftonline.com/common/oauth2/v2.0/authorize?client_id=dee951b5-45d3-47fb-bb13-168f803c4402&response_type=code&redirect_uri=https%3A%2F%2Fqlikads.net%2F&response_mode=query&scope=openid%20offline_access%20https%3A%2F%2Fads.microsoft.com%2Fmsads.manage&state=RANDOM_VALUE&sso_reload=trueRedirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
The page mimics a Microsoft sign‑in page, collects credentials on a non‑Microsoft domain and forwards them to Microsoft’s login endpoint – confirmed phishing.
Risk Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain name 'microsoft-advertising.ketteell.com' uses the commercial generic top-level domain (.com) and includes subdomain 'microsoft-advertising'. The registrable portion 'ketteell' spans 8 characters split between 3 vowels and five consonants. Splitting it apart reveals 3 words: kett, e, ell. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 5 | 23.53.42.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 188.137.248.13 | Oude Meer, North Holland, Netherlands | AS211381Podaon SIA |
| 5 | 40.126.32.133 | Germany | AS211381Podaon SIA |
| 5 | 104.208.16.90 | Ireland | Unknown |
| 5 | 13.107.246.44 | Unknown | Unknown |
| 5 | 40.126.32.136 | Unknown | Unknown |
| 30 | 6 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data