Security Scan Report: ctxds.query.api.dvb.corpinter.net

Redirected to:
https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2Fc...
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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 4 domains to perform 32 HTTP transactions. The main domain is corpinter.net and was registered 19 years ago.

Submitted URL: https://ctxds.query.api.dvb.corpinter.net

Effective URL:
https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2Fc...
Redirected

The Cisco Umbrella rank of the primary domain is #66,774 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page is a legitimate Mercedes‑Benz login portal with no malicious indicators.

Safety Factors (5)
Official brand domain with matching title and content
Physical address and corporate contact information present
Well‑established domain age for the final domain (Mercedes‑Benz)
No external malicious links or redirects
No credential exfiltration detected
Domain age information unavailable

Details

Page Title

Mercedes-Benz Group AG

Scan Type

public

Domain Name Analysis

You're looking at domain 'ctxds.query.api.dvb.corpinter.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'ctxds.query.api.dvb'. Its registrable label 'corpinter' stretches across 9 characters split between three vowels and 6 consonants. Word splitting yields 2 words: corp, inter. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

mPasswordiess 7 EEE Simple. Secure, Faster a Protection against phishing and password theft Your Identity Is better protected ° © Rememberme gopirapionst ‘Learn more and register you] ee or Merce...

Page Load Overview

2.46s
Total Load Time
851 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,370 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate business75% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
75%
finance banking
62%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.211.26.124Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
451.138.27.198Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
423.50.131.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
452.28.51.28Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
463.176.57.213Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
423.36.162.209Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423.36.162.204Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
328--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1041100469808C90D42A0CF65E6DEF804C1D9E3899B24BC50D8E323BA6DB87890876D8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h35wgfLlFkVAD2JzVx6taQWnHN9T1bGHXNVG:3wgPA8aQ+HN95G+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:917:AAAAAAAAAAgAAIAAAAAAAAAAwAAAAAAAAAAAIAAAgEAAkAAAADAAgACAgAAAAgQAAAAAAAABIAIAAAAAAAAQAAAAAQAAgAAA

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:001060e0f0105f0f
Perceptual Hash:c04d3f4ce3e03f92
Difference Hash:73708888c8a0bcbc
Wavelet Hash:00186cf8fc7c5f0f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data