Security Scan Report: dam-csac.services.tomtom.com

Redirected to:
https://docs.tomtom.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 43 IPs in 5 countries across 25 domains to perform 101 HTTP transactions. The main domain is tomtom.com and was registered 30 years ago.

Submitted URL: https://dam-csac.services.tomtom.com

Effective URL:
https://docs.tomtom.com/
Redirected

The Cisco Umbrella rank of the primary domain is #46,566 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate TomTom documentation portal; the entry subdomain redirects to the brand's own official docs.tomtom.com. No forms, no malware or phishing indicators.

Safety Factors (4)
Final destination is the official TomTom documentation domain
Established 30-year-old domain with Umbrella ranking
No credential harvesting or payment collection anywhere on the page
Clean threat intelligence, hunting rule, IDS and JavaScript behavioral results
Domain age information unavailable

Details

Page Title

TomTom Documentation

Scan Type

public

Domain Name Analysis

The domain 'dam-csac.services.tomtom.com' uses the commercial generic top-level domain (.com) and includes subdomain 'dam-csac.services'. The second-level label 'tomtom' is 6 characters long split between two vowels and 4 consonants. Breaking it apart gives two words: tom, tom. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

O tomtom Docs Products Resources Pricing ae ourt Diecton dao Sain chaple Jus préfecure ‘dePoke Start building with TomTom APIs, SDKs, and location technology. Start Building with Q sea Navigati...

Page Load Overview

1.23s
Total Load Time
4.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,446 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical94% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
94%
technology software
91%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
251.105.97.224Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
295.101.181.66Akamai · CDNMilan, Lombardy, Italy
AS20940Akamai International B.V.
2143.204.181.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
234.160.184.151Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
218.172.112.22Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.66.102.51Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
2142.251.153.119Google · CDNUnited States
AS15169Google LLC
10143--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2D32931A38235A83A1FCBA4383BE768746FE24EDD575885F9BF524217C48F1C895278

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OS9FY4v47jCgl3RdKSmqwRNr4sF+6qwbU7Z0Ue6bwDsdpmWN/nfY0xl1I1el1Iy+:7FYZ701cGA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136270:AAEQMCRIoQaosuWYlUkUmgFCQMmAFCEpOJIAlRAAIuAO0ZdaZjRBDMLwOIFiAFQAhgmCuJaIRUWAIHBMAGIPUGUjMSuXCDQL

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:fff1f1f9f3fcf8fc
Perceptual Hash:cea45293995b9336
Difference Hash:45a7272387494949
Wavelet Hash:b4f081f0f1e8f0f8
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data