Security Scan Report: townofforestport.gov

Site favicon
Submitted: Dec 14, 2025, 5:23:59 AMCompleted: Dec 14, 2025, 5:25:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 22 IPs in 2 countries across 14 domains to perform 123 HTTP transactions. The main domain is townofforestport.gov and was registered NaN years ago.

Submitted URL: https://townofforestport.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Official government domain (.gov)
Contains only public municipal notices and event information
No credential‑harvesting or payment collection mechanisms
Domain age information unavailable

Details

Page Title

Town of Forestport

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(78%)

Domain Information

Domain 'townofforestport.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'townofforestport' stretches across 16 characters with 5 vowels and eleven consonants. Breaking it apart gives 4 words: town, of, forest, port. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

17.28s
Total Load Time
123
HTTP Requests
14
Domains
4.1 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-US
Text Length:10,655 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
78%
education learning
52%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.19.229.21United States
AS13335CLOUDFLARENET
523.165.0.106United States
AS202088DWEB-01
5142.251.38.67United States
AS15169GOOGLE
5216.239.32.36United States
AS15169GOOGLE
554.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
538.83.60.70Reston, Virginia, United States
AS174COGENT-174
5216.58.210.174United States
AS15169GOOGLE
58.6.112.0United States
AS13335CLOUDFLARENET
5216.58.209.200United States
AS15169GOOGLE
5216.239.34.36United States
AS15169GOOGLE
12322--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115B3E9B5A541303EA29B56C970547318B3D3D20ACF0788A1B2FD63D8CBC5E9B2E73599

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Gq45ypL0TeD+lQ3Ub+QdMzs8Hel4eHtI52otrrX:fr50TeD+lQkndMzs8Hqo2e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108810:lYCTABXMhEoBEQEqAIBGAgCCHQFADEV2ohnKDQEoSIaAWaAKIBwpeAk9gAiIINIBXEAkRERCjLtgJgE62AgDCCAAX0QAjURA

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:ffffffffff000100
Perceptual Hash:aad42b2fd62b542a
Difference Hash:0e03f1d831835b0b
Wavelet Hash:00fdffffff000100
Color Hash:#6ce0b3

Scan History

Scan history not available

Unable to load historical scan data