Security Scan Report: www.tagheuer.com

Submitted: Nov 26, 2025, 10:00:50 PMCompleted: Nov 26, 2025, 10:03:44 PMpubliccompleted
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Summary

This website contacted 119 IPs in 4 countries across 25 domains to perform 289 HTTP transactions. The main domain is tagheuer.com and was registered NaN years ago.

Submitted URL: https://www.tagheuer.com/us/en/collection-monaco/collection-monaco.html

The Cisco Umbrella rank of the primary domain is #248,288 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

3
Risk Score

The site appears legitimate despite minor form quirks and low ranking.

Risk Factors
Low Cisco Umbrella ranking for a brand‑named domain
Hidden password field may indicate a poorly implemented form
Mismatched OCR content could be a sign of ad injection or content hijacking
Safety Factors
Domain age over 30 years (well‑established)
Final URL matches the official TAG Heuer domain
No malicious Indicators of Compromise found
No cloud storage or IPFS hosting
Domain age information unavailable

Details

Page Title

TAG Heuer® MONACO Collection | TAG Heuer US

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(46%)

Domain Information

The domain name 'www.tagheuer.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'tagheuer' stretches across 8 characters containing 4 vowels alongside four consonants. Tokenizing the label suggests two words: tag, heuer. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.tagheuer.com/us/en/collection-monaco/collection-monaco.html

Page Load Overview

8.94s
Total Load Time
289
HTTP Requests
25
Domains
71.2 MB
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:7,644 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
46%
social_media
25%
corporate
25%
forum
20%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
196184.25.217.37Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
10104.18.86.42United States
AS13335CLOUDFLARENET
6160.8.187.10London, England, United Kingdom
AS14340SALESFORCE
6160.8.191.22London, England, United Kingdom
AS14340SALESFORCE
454.243.108.33Ashburn, Virginia, United States
AS14618AMAZON-AES
3104.16.174.226United States
AS13335CLOUDFLARENET
365.9.175.128United States
AS16509AMAZON-02
2160.8.188.4London, England, United Kingdom
AS14340SALESFORCE
2160.8.187.31London, England, United Kingdom
AS14340SALESFORCE
2160.8.189.6London, England, United Kingdom
AS14340SALESFORCE
289119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC051A2DB5B18C6B2DBE30A2D85D9F9BA4602F47F3D03951B0AD5110FF819482A8B75F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:UyrRDJLPhACK0lidIdjDfIU6yCq4La3oIf:FrRD3ACK0lidIdjDfIU+La39

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:827849:GpCTJQELJEMFBKBYUWRoI8AQ5SYvAIQg2gsBJnkCbSEmJJBWJDIIgIUQBAChYDhAMCjACSAOADQ07UcCHACGCihAIYBYkEYA

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:00fffb0100100000
Perceptual Hash:aaf7f75c32084863
Difference Hash:1b4dd79915313105
Wavelet Hash:ebfffb4301191901
Color Hash:#e07f6c

Scan History

Scan history not available

Unable to load historical scan data