Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is login.mercedes-benz.com and was registered NaN years ago.
Submitted URL: https://stem.i.mercedes-benz.com
Effective URL: https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2FEnzFnUzz9a%2Fresume%2Fas%2Fauthorization.ping&allowInteraction=true&reauth=false&connectionId=8cbb15f8-4da0-4439-b716-b872f252bdb0&REF=9E157F76D71B96FB6A76F8C5BC758392D57B1F8F626DD69816550000012F&unique_id=aYenX7yNQCyi4bj0yrv9owAAAVM&scope=openid+profile+email+phone+entitlement_group+scoped_entitlement+authorization_group+com_data+group_type+location_data+organizational_data+offline_access&client_id=8cbb15f8-4da0-4439-b716-b872f252bdb0Redirected
The Cisco Umbrella rank of the primary domain is #34,366 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Official Mercedes-Benz login page; no security concerns detected.
Safety Factors
Details
Page Title
stem.i.mercedes-benz.com
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the commercial generic top-level domain (.com), 'stem.i.mercedes-benz.com' is registered, featuring subdomain 'stem.i'. The registrable portion 'mercedes-benz' spans 13 characters containing four vowels alongside 8 consonants; bonus characters include 1 hyphen. It segments into 2 words: mercedes, benz. The median word length lands at 6 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 |
|---|---|---|---|
| 32 | 20.105.216.32 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 32 | 1 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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