Security Scan Report: acr-dev.api-dev.devex.tomtom-global.com

Redirected to:
https://login.microsoftonline.com/374f8026-7b54-4a3a-b87d-328fa26ec10d...
Submitted: Apr 9, 2026, 1:43:38 PMCompleted: Apr 9, 2026, 1:44:47 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://acr-dev.api-dev.devex.tomtom-global.com

Effective URL: https://login.microsoftonline.com/374f8026-7b54-4a3a-b87d-328fa26ec10d/oauth2/v2.0/authorize?response_type=code+id_token&redirect_uri=https%3A%2F%2Facr-dev.api-dev.devex.tomtom-global.com%2F.auth%2Flogin%2Faad%2Fcallback&client_id=95f8c4bf-c714-45ee-bb58-aa656eb143b4&scope=openid+profile+email&response_mode=form_post&nonce=73e03c149e2c44e58ed596464a51bda1_20260409134841&state=redir%3D%252F&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #550,556 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows Microsoft branding on a TomTom domain with a login form; while the OAuth flow appears legitimate, the brand mismatch and low ranking suggest caution.

Risk Factors
Brand impersonation of Microsoft on a TomTom subdomain
Low Cisco Umbrella ranking for the primary domain
High JavaScript obfuscation score
Safety Factors
Domain age 8749 days (well‑established)
Form posts to legitimate Microsoft OAuth endpoint
No malicious IoC or YARA detections
No network IDS alerts
Page served from an identity-provider sign-in endpoint (login.microsoftonline.com); a relying-party brand and login form here are normal SSO, not impersonation — risk clamped from 5 to 2
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain 'acr-dev.api-dev.devex.tomtom-global.com' uses the commercial generic top-level domain (.com) and includes subdomain 'acr-dev.api-dev.devex'. The core label 'tomtom-global' covers 13 characters with 4 vowels and eight consonants, along with one hyphen. Tokenizing the label suggests three words: tom, tom, global. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://acr-dev.api-dev.devex.tomtom-global.com

Page Load Overview

1.08s
Total Load Time
18
HTTP Requests
6
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:323 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
79%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
640.126.32.74Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
213.107.246.44United States
AS8075Microsoft Corporation
240.71.177.34Washington, Virginia, United States
AS8075Microsoft Corporation
223.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
240.126.32.134UnknownUnknown
240.79.141.153UnknownUnknown
240.126.32.136UnknownUnknown
187--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118836CDA7E62293B824641B4B0B96E02AF766E03894CDC60F15CC9C83FEB71D8137657

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lMK28GLG2eczza7/ifoIyEk77gx2xpTvPoMmCfnED8QiahC:iK28xczzxfJ32RAVC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81097:EOopD4ggQSLp8iA3JAijGp0YrKaIE5AsKHoBMAMyAQwJaojOeZDGvwEha4iFIeAgQQIACAFeFCCFERoEWQIURshBzkgQAi1w

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:00001c1c9c3f0000
Perceptual Hash:8c0867f77ac589d8
Difference Hash:ceb2f2b2b2b2860f
Wavelet Hash:00121e7fdfffe200
Color Hash:#1f8693

Scan History

Scan history not available

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