Security Scan Report: townofbinghamton.gov

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Submitted: Nov 23, 2025, 9:24:21 PMCompleted: Nov 23, 2025, 9:26:44 PMpubliccompleted
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Summary

This website contacted 45 IPs in 2 countries across 8 domains to perform 102 HTTP transactions. The main domain is townofbinghamton.gov and was registered NaN years ago.

Submitted URL: https://townofbinghamton.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site appears legitimate with no evident security threats.

Safety Factors
Standard hosting environment
Clear municipal contact information
No hidden or deceptive elements detected
Domain age information unavailable

Details

Page Title

Town of Binghamton NY | A Great Place to Live!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(87%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'townofbinghamton.gov' is registered without a subdomain. Count 16 characters in 'townofbinghamton' containing 5 vowels alongside eleven consonants. Tokenizing the label suggests three words: town, of, binghamton. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.66s
Total Load Time
102
HTTP Requests
8
Domains
3.9 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:7,201 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service87% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
87%
forum community discussion
48%
government
48%
documentation technical
39%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7545.79.151.167Cedar Knolls, New Jersey, United States
AS63949Akamai Connected Cloud
14142.250.186.42United States
AS15169GOOGLE
10172.217.23.99United States
AS15169GOOGLE
8195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
252.25.227.47Boardman, Oregon, United States
AS16509AMAZON-02
279.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.250.185.136United States
AS15169GOOGLE
2142.250.185.99United States
AS15169GOOGLE
279.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.250.185.206United States
AS15169GOOGLE
10245--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1208492CFDB7536B172039385BDDAA738D2ED4123D60108C2BDB4E5589B8372746B22AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:HDSiBJXSQ3fucSH54skc2XVeIUjnEgIPXD7C7Z4kQZN:HDSiBJXSQ3fucSH54skc2XVeIUjnEgI5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:399952:sCK5kUjEFAEAkClMkZGJkzYCIQZRiADAigBBBz0YMUA7GDBAsARGYQ1gvgB4AAgBxhKQjoyJfyPFckWJoGgWBiADkCICEqUs

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:000000000000ffff
Perceptual Hash:8b02f87a97eb1d82
Difference Hash:89b7f3d9dd370322
Wavelet Hash:c000190f078bffff
Color Hash:#9ad279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data