Security Scan Report: iamhub.ing.net

Redirected to: https://login.microsoftonline.com/587b6ea1-3db9-4fe1-a9d7-85d4c64ce5cc/oauth2/authorize?response_type=code&client_id=88f2ef6e-22e8-432b-b174-ebc6216d4faf&scope=openid&nonce=c3d85e25-357a-49ba-8c45-05b96b2ca238&redirect_uri=https%3a%2f%2fiamhub.ing.net%2f&state=AppProxyState%3a%7b%22InvalidTokenRetry%22%3anull%2c%22IsMsofba%22%3afalse%2c%22OriginalRawUrl%22%3a%22https%3a%5c%2f%5c%2fiamhub.ing.net%5c%2f%22%2c%22RequestProfileId%22%3anull%2c%22SessionId%22%3a%2275f5c671-cb24-40b1-9bbc-0f1cf1fda4eb%22%7d%23EndOfStateParam%23&client-request-id=75f5c671-cb24-40b1-9bbc-0f1cf1fda4eb&claims=%7b%22id_token%22%3a%7b%22xms_cc%22%3a%7b%22values%22%3a%5b%22CP1%22%5d%7d%7d%7d&sso_reload=true

Submitted: Mar 23, 2026, 4:04:33 PMCompleted: Mar 23, 2026, 4:05:48 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://iamhub.ing.net

Effective URL: https://login.microsoftonline.com/587b6ea1-3db9-4fe1-a9d7-85d4c64ce5cc/oauth2/authorize?response_type=code&client_id=88f2ef6e-22e8-432b-b174-ebc6216d4faf&scope=openid&nonce=c3d85e25-357a-49ba-8c45-05b96b2ca238&redirect_uri=https%3a%2f%2fiamhub.ing.net%2f&state=AppProxyState%3a%7b%22InvalidTokenRetry%22%3anull%2c%22IsMsofba%22%3afalse%2c%22OriginalRawUrl%22%3a%22https%3a%5c%2f%5c%2fiamhub.ing.net%5c%2f%22%2c%22RequestProfileId%22%3anull%2c%22SessionId%22%3a%2275f5c671-cb24-40b1-9bbc-0f1cf1fda4eb%22%7d%23EndOfStateParam%23&client-request-id=75f5c671-cb24-40b1-9bbc-0f1cf1fda4eb&claims=%7b%22id_token%22%3a%7b%22xms_cc%22%3a%7b%22values%22%3a%5b%22CP1%22%5d%7d%7d%7d&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #462,619 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating ING to steal login credentials

Risk Factors
Brand impersonation on a low‑ranking domain
Cross‑origin credential harvesting form
Low domain ranking for brand claim
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'iamhub.ing.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'iamhub'. The second-level label 'ing' is 3 characters long containing one vowel alongside 2 consonants. Splitting it apart reveals 1 word: ing. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iamhub.ing.net

Page Load Overview

0.64s
Total Load Time
17
HTTP Requests
5
Domains
447 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:192 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
513.107.246.44United States
AS8075Microsoft Corporation
398.67.183.227Frankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
320.190.159.64Dublin, Leinster, Ireland
AS8075Microsoft Corporation
323.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
340.126.32.74UnknownUnknown
175--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A835BEA7EB62936864A44F4F07A7E02AB365903984CD964F09CC9C82FFB74D4137257

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jo8GLG2htwYP+toIyEk77gx2xpTvPoMmCBaEB3QiPC:M8wtwY2tJ32RAgC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85179:gRMJY6QHilMxBiGA5iwEFBQwGgUABQE0w3iSYsUWEQKQABEUmXA6YJBCxgeRBaoSr8DAIRxCIIAnGsdIyxSjQkgZAMDYiiio

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:c0001818381c0000
Perceptual Hash:d9497372cc73890d
Difference Hash:80103233b2314c6c
Wavelet Hash:c0c038fdfffce400
Color Hash:#8799c5

Scan History

Scan history not available

Unable to load historical scan data