Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is login.mercedes-benz.com and was registered NaN years ago.
Submitted URL: https://pncce.query.api.am.dvb.corpinter.net
Effective URL: https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2F3J9mgjTjKY%2Fresume%2Fas%2Fauthorization.ping&allowInteraction=true&reauth=false&connectionId=ae2666cc-0aa4-43e2-97f2-98a6b2fb6faf&REF=53DC302C838A94339A10F8CB9833DCDC35958331121D565E62F400000067&unique_id=ahfb4wU50PyTZVvApyBiwAAAApk&scope=email+profile+com_data+openid&client_id=ae2666cc-0aa4-43e2-97f2-98a6b2fb6fafRedirected
The Cisco Umbrella rank of the primary domain is #66,774 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 82%
Low risk – appears to be a legitimate SSO redirect with no malicious activity.
Risk Factors
Safety Factors
Details
Page Title
Mercedes-Benz Group AG
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'pncce.query.api.am.dvb.corpinter.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'pncce.query.api.am.dvb'. Its registrable label 'corpinter' stretches across 9 characters split between three vowels and six consonants. Word splitting yields two words: corp, inter. The median word length lands 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 |
|---|---|---|---|
| 10 | 52.154.163.210 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 7 | 23.36.162.202 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 40.77.80.50 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 7 | 63.176.57.213 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 31 | 4 | - | - |
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