Security Scan Report: www.townofdannemora.gov

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Submitted: Nov 25, 2025, 6:11:40 PMCompleted: Nov 25, 2025, 6:15:36 PMpubliccompleted
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Summary

This website contacted 77 IPs in 2 countries across 18 domains to perform 207 HTTP transactions. The main domain is townofdannemora.gov and was registered NaN years ago.

Submitted URL: https://www.townofdannemora.gov/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Official government TLD (.gov)
No forms collecting sensitive data
No external links or redirects
Domain age information unavailable

Details

Page Title

Town of Dannemora | New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

Domain 'www.townofdannemora.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Count 15 characters in 'townofdannemora' split between 6 vowels and nine consonants. It segments into five words: town, of, d, anne, mora. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.townofdannemora.gov/

Page Load Overview

3.26s
Total Load Time
207
HTTP Requests
18
Domains
19.1 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
Text Length:2,549 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
59%
government
48%
download file sharing
41%
travel tourism
39%
phishing scam
39%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10334.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21142.250.185.202United States
AS15169GOOGLE
15216.58.206.72United States
AS15169GOOGLE
10172.217.18.3United States
AS15169GOOGLE
93.91.142.98Ashburn, Virginia, United States
AS14618AMAZON-AES
8172.217.18.10United States
AS15169GOOGLE
865.8.131.76United States
AS16509AMAZON-02
754.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
634.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
334.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
20777--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122B4AF70A2006C3D4FDF02DEB2667A1930656406E881475AF5FC59A83EE3DE9239736F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+Umkd1t9YLMDz4TmIksJN0TezSqgFcEi+cXYcOl+VFW:DmY1HYLKvqg3cBVFW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:539776:QFIBQEREMACFCS6VRgYkwAcgDIkbPMSSD5Igg4WABgKgrLCTMoABoCsBkv8xIEQNAlwBABui6qCgAgiMiGCEAhNcYoEMWIgb

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:ffff7f0100c0ef00
Perceptual Hash:b894d57a2e8733d0
Difference Hash:3fa4dc5f1519931a
Wavelet Hash:ffff7f0000c0ef00
Color Hash:#3c783a

Scan History

Scan history not available

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