Security Scan Report: vanetten.gov

Submitted: Nov 20, 2025, 11:09:42 AMCompleted: Nov 20, 2025, 11:12:13 AMpubliccompleted
Loading additional data...

Summary

This website contacted 46 IPs in 2 countries across 8 domains to perform 39 HTTP transactions. The main domain is vanetten.gov.

Submitted URL: https://vanetten.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate government site with no apparent security concerns.

Safety Factors
Domain is a .gov TLD, indicating official government ownership
No credential‑harvesting or payment collection forms present
No malicious Indicators of Compromise detected in threat intelligence databases
Domain age information unavailable

Details

Page Title

Home | Town of Van Etten, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'vanetten.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The second-level label 'vanetten' is 8 characters long with three vowels and 5 consonants. Segmentation suggests 2 words: vane, tten. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vanetten.gov/

Page Load Overview

2.50s
Total Load Time
39
HTTP Requests
8
Domains
2.7 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:4,298 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
forum community discussion
45%
government public service
43%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39151.101.2.137San Francisco, California, United States
AS54113FASTLY
25172.67.150.95United States
AS13335CLOUDFLARENET
5142.250.186.74United States
AS15169GOOGLE
4142.250.186.131United States
AS15169GOOGLE
1104.16.175.226United States
AS13335CLOUDFLARENET
1142.250.186.136United States
AS15169GOOGLE
1142.250.186.42United States
AS15169GOOGLE
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1216.239.32.36United States
AS15169GOOGLE
0216.58.206.42United States
AS15169GOOGLE
3946--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106F2841298A0583700CBA5DEB636AB16A9E68307C2171981F1FE87F60FEBD49DD3355C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mnH6c8TAaW4Zhhl/F5TE0CeE0n6E0WHE0Z6xmUKMRMtMOMpMnUt/qzAuyGiwWFQ1:SdCD/X+4Z56KiwB8zt/qzAehPnTrjaE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36521:1BciAtZCGACKBIkClJBLQBQsmqAhAYwWWApkDULIRZpBVQmAIwDm9wQUDSBHsACgaOqUEYQCxuIvRASMgQAEHjFyRWgBl4oo

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:ffff0000083cffff
Perceptual Hash:912cec123b7b447e
Difference Hash:87f4f058d8d4cc08
Wavelet Hash:51ff0000083cffff
Color Hash:#9479d2

Scan History

Scan history not available

Unable to load historical scan data