Security Scan Report: cms.ingmarkets.de

Redirected to:
https://login.microsoftonline.com/3e30446c-03ac-4cbe-992b-5f46dd32359f...
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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 7 domains to perform 21 HTTP transactions. The main domain is ingmarkets.de and was registered 1 month ago.

Submitted URL: https://cms.ingmarkets.de

Effective URL:
https://login.microsoftonline.com/3e30446c-03ac-4cbe-992b-5f46dd32359f...
Redirected

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Standard Microsoft OAuth sign-in reached from cms.ingmarkets.de; credentials go to the genuine login.microsoftonline.com endpoint. No phishing, malware or exfiltration indicators found.

Safety Factors (4)
Credential form posts to the authentic Microsoft identity platform, not to a third-party collector
Redirect chain ends on login.microsoftonline.com, Microsoft's official sign-in domain
Zero threat-intelligence, YARA, IDS or JavaScript-behavioral findings
Microsoft-specific anti-CSRF/flow tokens present in the DOM consistent with the real service
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

You're looking at domain 'cms.ingmarkets.de' on the German country-code top-level domain (.de) with subdomain 'cms'. The core label 'ingmarkets' covers 10 characters with 3 vowels and seven consonants. Splitting it apart reveals two words: ing, markets. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cms.ingmarkets.de

Page Load Overview

0.79s
Total Load Time
617 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
391.220.123.84Netherlands
AS39686Eurofiber Nederland BV
220.190.160.130Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
213.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
240.126.32.76Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
240.126.32.140Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
223.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
240.126.32.138Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.160.14Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
252.178.17.232Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
2110--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1836CEA7FA2293B878A51B5B5B57E026E3B5D07494CCC60F14CC8842FFA70D8127957

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:F9Q8GLG2HigHX+LpcLuENoHIZ9Tjuokmap5vPoMLufY0I5liYuzC:M8YOQNLa/A7zC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83699:ZpXTAwMoEqMMrW7A6EiX4IUWEgoQsQIyBIpUDXwEig5YIkGPriQYLYSVwkygAxARlIAAMM4QEk0KrRcGWKVEAFCdgMGRbqEF

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:0000181818180000
Perceptual Hash:8cd93366cc9999cc
Difference Hash:300cb2b2b2b24c31
Wavelet Hash:8181bdbdbdbd8181
Color Hash:#53ac59

Scan History

Scan history not available

Unable to load historical scan data