Security Scan Report: ssb-nonprod.query.api.am.dvb.corpinter.net

Redirected to:
https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2Fg...
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Submitted: Jul 21, 2026, 10:29:54 AMCompleted: Jul 21, 2026, 10:30:14 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is login.mercedes-benz.com and was registered NaN years ago.

Submitted URL: https://ssb-nonprod.query.api.am.dvb.corpinter.net

Effective URL: https://login.mercedes-benz.com/?instance=default&resumePath=%2Fas%2FgsLReWZv2n%2Fresume%2Fas%2Fauthorization.ping&allowInteraction=true&reauth=false&connectionId=ae2666cc-0aa4-43e2-97f2-98a6b2fb6faf&REF=6E54E6BDF5AEC3DA68AF9FA980B7292BEED70B656E41ADE03A6700000068&unique_id=al9KJQHyCbiNT7zuwSlbUQAAAAE&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

Safe Website

Confidence: 96%

1
Risk Score

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

Safety Factors
Established domain with reputable brand
Cross‑origin form submissions to official Mercedes‑Benz login domain
No obfuscation or malicious JavaScript detected
Domain age information unavailable

Details

Page Title

Mercedes-Benz Group AG

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(67%)

Domain Information

Domain 'ssb-nonprod.query.api.am.dvb.corpinter.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'ssb-nonprod.query.api.am.dvb'. Count 9 characters in 'corpinter' with 3 vowels and six consonants. Tokenizing the label suggests two words: corp, inter. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ssb-nonprod.query.api.am.dvb.corpinter.net

Page Load Overview

2.21s
Total Load Time
31
HTTP Requests
4
Domains
960 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,370 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking67% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
67%
corporate business
44%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10130.131.172.163Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
723.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
740.77.80.50Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
763.176.57.213Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
314--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CE2503194F5053B829390D976619F07B9C2D24BD64BA814F3FC47986FEBD82AC1B21E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:FEkbcpt6vNH7vxD3ISD3X9YN5Lae/hqYgHTX4wbzcv:FEkbcpWNH7V313y9aG6zISIv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33206:ZAIAYlgAjBaZSQyVAKRcjiVCAADDgYDJBaAZ0IRDoQwUGC4SAUAjQYJAGGoMAARJRdIgEC+R2EwECNSwABksEpsZCgBIiBQK

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:00d8e8fcf8f0f000
Perceptual Hash:c1fb3e2c00e21f1f
Difference Hash:31184888d0c1c7a6
Wavelet Hash:00f8fcfcf8f8f100
Color Hash:#862d43

Scan History

Scan history not available

Unable to load historical scan data