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Security Scan Report: edinburgny.gov

Submitted: Dec 9, 2025, 3:55:55 PMCompleted: Dec 9, 2025, 3:57:09 PMpubliccompleted
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Summary

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

Submitted URL: https://edinburgny.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

403 Forbidden

Scan Type

public

Language

🇩🇰

Danish

(72% confidence)

Category

government

(95%)

Domain Information

You're looking at domain 'edinburgny.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'edinburgny' covers 10 characters containing three vowels alongside seven consonants. Word splitting yields four words: ed, in, burg, ny. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.09s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:72%
Script Type:Latin
Text Length:33 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2170.158.227.225Syracuse, New York, United States
AS46158OCMBOCES
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117C04C56F56F240CAA5316B106C73B40D595C276CC4A49505B424697B0C6567C4C7364

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxgROngsoMHXbvxL4AqWsMgs0U9ClITULLP61INqz:qzxUigsoCXLx0AqWDgs01lIgLP8INqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:389fc4c844d2da787de0510df7eae76e

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:00ffffffffffffff
Perceptual Hash:e666666666666626
Difference Hash:0c00000000000000
Wavelet Hash:007fcfcf00000000
Color Hash:#bf405b

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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