Security Scan Report: townofelbany.gov

Submitted: Nov 15, 2025, 5:59:38 AMCompleted: Nov 15, 2025, 6:01:22 AMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is townofelbany.gov and was registered NaN years ago.

Submitted URL: https://townofelbany.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no detected threats.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
Public government information displayed
Domain age information unavailable

Details

Page Title

Elba, New York – Genesee County

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

Domain 'townofelbany.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'townofelbany' is 12 characters long holding four vowels versus 8 consonants. Breaking it apart gives four words: town, of, elba, ny. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

13.46s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:11,887 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
63%
healthcare medical
62%
documentation technical
61%
finance banking
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.124.249.133UnknownUnknown
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14783F9B2943F143BE61B37A89629B3C5AAB45052DB106C70B9FC24BD5BCDE9E14F214C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:E6ap2aV5exr5Kh8c69cTv3AlkqWhKOLi9Ewk3hhe+dIRjNYuzpz713N+aJ61W6D7:ENkaV5exr5KhT69cTv3AlkqWhKOLi9NS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83315:SCrejUbi7xRkRIgBiEQ8WEgkBIkNMELEuOAhwGyUbBZoD4G4cujwYAyERghAmwBCAUhQBAATWxIFLDCdhNcE4AmRARGJePCQ

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:#8ebf40

Scan History

Scan history not available

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