Security Scan Report: www.tigertonwi.com

Submitted: Nov 4, 2025, 8:22:08 PMCompleted: Nov 4, 2025, 8:23:57 PMpubliccompleted
Loading additional data...

Summary

This website contacted 67 IPs in 2 countries across 21 domains to perform 344 HTTP transactions. The main domain is tigertonwi.com and was registered NaN years ago.

Submitted URL: https://www.tigertonwi.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Official municipal contact information
Transparent content and clear purpose
Domain age information unavailable

Details

Page Title

Village of Tigerton

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

You're looking at domain 'www.tigertonwi.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'tigertonwi' stretches across 10 characters containing 4 vowels alongside six consonants. Word splitting yields three words: tiger, ton, wi. The median word length lands at 3 characters. 'tiger' is most common in German usage. Secondary signals appear in English and Chinese (Pinyin).

Screenshot

Security scan screenshot of https://www.tigertonwi.com/

Page Load Overview

78.26s
Total Load Time
344
HTTP Requests
21
Domains
5.3 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:2,608 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1434.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
565.8.131.125United States
AS16509AMAZON-02
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
513.32.121.106New York, New York, United States
AS16509AMAZON-02
513.32.121.75New York, New York, United States
AS16509AMAZON-02
518.245.86.4United States
AS16509AMAZON-02
534.218.63.49Boardman, Oregon, United States
AS16509AMAZON-02
5142.250.181.244United States
AS15169GOOGLE
5151.101.130.217San Francisco, California, United States
AS54113FASTLY
518.245.86.69United States
AS16509AMAZON-02
34467--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3157D60A5041C3D8ECB12DCB656BA0D20E4541ADD85462BF8FD6E683EE7DF9138732B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+omkd1kI97b4ME2RMK9lX8iHF0TezSoKHcEvt8BjyqqfpCplrwsI/XVMjyFy0:3mY1kU7by2RR9F8joKuhFyFd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:885991:FgGQiSoAM0YHsYZTxEx6kcJBmboQCAAmPIxm7QQaLgRxQIwCB1shOAyQZFkERsM0QIoiKItAEAwCoRMVIAKuDmINhYiZwACM

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:000000e7e7e3ffdf
Perceptual Hash:a84f1ce5b5972338
Difference Hash:e3f1e1cf8f8e97b7
Wavelet Hash:000000e7c3f7ffdf
Color Hash:#1f933a

Scan History

Scan history not available

Unable to load historical scan data