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Security Scan Report: www.newalbionny.gov

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Submitted: Oct 23, 2025, 6:46:23 AMCompleted: Oct 23, 2025, 6:47:36 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 8 domains to perform 44 HTTP transactions. The main domain is newalbionny.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content matches a legitimate municipal website
Domain age information unavailable

Details

Page Title

TOWN OF NEW ALBION - Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

real estate property

(58%)

Domain Information

You're looking at domain 'www.newalbionny.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The second-level label 'newalbionny' is 11 characters long with 4 vowels and 7 consonants. Word splitting yields three words: new, albion, ny. Expect three characters per word on average. 'new' most often appears in English. It also appears in Norwegian and Dutch contexts.

Screenshot

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

Page Load Overview

34.19s
Total Load Time
44
HTTP Requests
8
Domains
901 KB
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:898 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property58% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
58%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1145.76.15.200Piscataway, New Jersey, United States
AS20473AS-VULTR
3146.75.121.46Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3199.34.228.66United States
AS27647WEEBLY
3142.250.184.234United States
AS15169GOOGLE
3142.250.186.131United States
AS15169GOOGLE
3142.250.184.232United States
AS15169GOOGLE
32a00:1450:4001:80b::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
3142.250.185.163United States
AS15169GOOGLE
3172.217.18.10United States
AS15169GOOGLE
32a00:1450:4001:812::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
4412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E203F7C8FA7C2938073A02A2F2A72EDFF97FD535ED129CD8F1E5502952D5E800265A4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3qbIRIOITIwIgIYKZgNDfIwIGI5IRJ7SGIRIOITIwIgIiKZgNDfIwIGI5ISJ7SZl:3QIRIOITIwIgIYKZgNDfIwIGI5IRJ7S8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39960:TLEAkAAAbSaSAgpyAGopIUgGAkGAUQUggYMSgImoEJCRFYYTARlESYbWTA0FgoAALiIIQAAMVplyACIQgNoEIYQWjAkEwkMU

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:ff0000000400ffff
Perceptual Hash:930aed53b4e5cb82
Difference Hash:cef1f3dcf8594014
Wavelet Hash:ff0101060e08ffff
Color Hash:#9479d2

Other Hashes

Crop Resistant:cef1f3dcf8594014,b3aeb676f2e2c412,fdf3dfdefcf85850

Scan History

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