Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 33 HTTP transactions. The main domain is login.mercedes-benz.com and was registered NaN years ago.
Submitted URL: https://slv-dev.query.api.dvb.corpinter.net
Effective URL: https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2FrtlpSB7UWC%2Fresume%2Fas%2Fauthorization.ping&allowInteraction=true&reauth=false&connectionId=590385bd-e656-4c50-865c-e3b607e708aa&REF=1D94797E33952F7066E7F608C9EFF2E5271BECC2546B93E3B0D9000000CB&unique_id=acSQKP-0cgRPH_tAIgLJ2gAAAIE&scope=email+profile+com_data+openid&client_id=590385bd-e656-4c50-865c-e3b607e708aaRedirected
The Cisco Umbrella rank of the primary domain is #66,774 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate Mercedes‑Benz login page; no malicious indicators detected.
Safety Factors
Details
Page Title
Mercedes-Benz Group AG
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'slv-dev.query.api.dvb.corpinter.net' is registered; it also runs on subdomain 'slv-dev.query.api.dvb'. The core label 'corpinter' covers 9 characters with three vowels and six consonants. Breaking it apart gives two words: corp, inter. Average segment length settles at 4.5 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 |
|---|---|---|---|
| 8 | 172.211.26.124 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 8 | 51.124.7.171 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 8 | 23.36.162.202 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 63.176.244.220 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 32 | 4 | - | - |
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