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Security Scan Report: townofelbany.gov

Submitted: Dec 17, 2025, 10:15:01 AMCompleted: Dec 17, 2025, 10:16:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is townofelbany.gov and was registered NaN years ago.

Submitted URL: https://townofelbany.gov/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears to be a legitimate municipal page with low risk.

Risk Factors
Recently registered domain (148 days old)
Unranked in Cisco Umbrella reputation list
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting passwords or payment data
Domain age information unavailable

Details

Page Title

Elba, New York – Genesee County

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'townofelbany.gov' on the United States government-restricted top-level domain (.gov). The core label 'townofelbany' covers 12 characters holding four vowels versus 8 consonants. Splitting it apart reveals 4 words: town, of, elba, ny. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.16s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
61%
government public service
54%
adult content
50%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.124.249.133Menifee, California, United States
AS30148SUCURI-SEC
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E183F9B2943F143BE61B37A89629B3C5AAB45052DB106C70B9FC24BD5BCDE9E14F214C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ErapHaV5exr5Khlc69cTv3AlkqWhKOLi9Ewk3hhe+0JFUlPY5/zzpz713N+aJ61a:EOxaV5exr5Khq69cTv3AlkqWhKOLi9Nh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83332:DoRHSagKABIENZB6UCEYQEgGBYIFCzYBFXEIZiKomFEUFfyMYSoSaWAz5PDQgCFTQDgEgaTIVB4IjpBSFYAkAOopcaRCMECQ

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:ff0001000003ffff
Perceptual Hash:a805d5fcc8b68fa8
Difference Hash:32dfffffb7b73c1b
Wavelet Hash:ff000100007fffff
Color Hash:#9340bf

Scan History

Scan history not available

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