Security Scan Report: www.villageofdannemora.gov

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Submitted: Nov 25, 2025, 6:25:47 AMCompleted: Nov 25, 2025, 6:29:22 AMpubliccompleted
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Summary

This website contacted 54 IPs in 2 countries across 12 domains to perform 200 HTTP transactions. The main domain is villageofdannemora.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official .gov top‑level domain
Content matches a municipal website
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Village of Dannemora | 40 Emmons Street, Dannemora, NY, USA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(76%)

Domain Information

You're looking at domain 'www.villageofdannemora.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The second-level label 'villageofdannemora' is 18 characters long split between 8 vowels and ten consonants. Segmentation suggests 5 words: village, of, d, anne, mora. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.61s
Total Load Time
200
HTTP Requests
12
Domains
18.2 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:4,096 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service76% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
76%
education learning
69%
blog personal website
69%
forum community discussion
62%
real estate property
49%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12634.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
4165.8.131.76United States
AS16509AMAZON-02
28142.250.186.138United States
AS15169GOOGLE
13142.250.185.163United States
AS15169GOOGLE
934.225.248.69Ashburn, Virginia, United States
AS14618AMAZON-AES
865.8.131.77United States
AS16509AMAZON-02
534.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3142.250.185.106United States
AS15169GOOGLE
3142.250.186.131United States
AS15169GOOGLE
3142.250.186.42United States
AS15169GOOGLE
20054--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158158ED0710058384E6772BEB309BE5C75266452EF820A6EFDED5DAC25C3AF912D370A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:81xclvS8rLdmQGv0iCyP0hOdsA6Clj5fd3JIX/mn2lYFFRRGSN/tArRxBgrihlmY:81xclvS8DA63mn8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:935169:CAEgmnCMSHlAQAEAJYh5jSAG0MEp3YwiABQAjEnAUqWESESiQ3AEPKRbEw3gIiITA4UaJgRAwsACUDXglJGagYACBGsQMwIA

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:2020ff1f10030700
Perceptual Hash:8bc747476ab488e6
Difference Hash:4141ffbfa3bf4e5b
Wavelet Hash:3028ffdf3b0f0701
Color Hash:#2d3a86

Scan History

Scan history not available

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