Security Scan Report: v3.cambridgeny.gov

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Submitted: Oct 29, 2025, 12:56:24 AMCompleted: Oct 29, 2025, 12:58:16 AMpubliccompleted
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Summary

This website contacted 142 IPs in 4 countries across 41 domains to perform 219 HTTP transactions. The main domain is v3.cambridgeny.gov and was registered NaN years ago.

Submitted URL: https://v3.cambridgeny.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Government domain with verified .gov TLD
Long-established domain age
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Village of Cambridge, NY - Official Government Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

The domain name 'v3.cambridgeny.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'v3'. The core label 'cambridgeny' covers 11 characters holding three vowels versus 8 consonants. Word splitting yields 2 words: cambridge, ny. Expect 5.5 characters per word on average. 'cambridge' is most common in Norwegian usage. You may catch it in Danish and Swedish as well.

Screenshot

Security scan screenshot of https://v3.cambridgeny.gov/

Page Load Overview

63.53s
Total Load Time
219
HTTP Requests
41
Domains
4.6 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
Text Length:157,332 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
60%
forum community discussion
51%
government
48%
documentation technical
40%
adult content
39%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
78142.250.185.195United States
AS15169GOOGLE
1172.217.18.10United States
AS15169GOOGLE
1212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.250.184.202United States
AS15169GOOGLE
1216.58.212.142United States
AS15169GOOGLE
1216.58.206.78United States
AS15169GOOGLE
1172.67.181.105United States
AS13335CLOUDFLARENET
1142.250.74.202United States
AS15169GOOGLE
1195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
154.84.101.21Ashburn, Virginia, United States
AS14618AMAZON-AES
219142--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F845C25F211283B416B85DD70227B5B7312A717EB220899F6FDC220A3CEDF6765335A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:r2EZMe1Fcghd5DqVtoiA732g+2Vy3I/HJTyNk7jr05Lx4a9ukeCm8ecH2qny8AUp:iEZMKcud5ct4K2wI0+38Zn3Zn9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:407033:AQQIwIAKWFANCgJaBgABJWCAoIgIPugAgYUiigCRZiRTXTEENMAoBGQ4AQDIkomWuEnZUh0ACRMJGIBBMbDwCqQAMAxgKEpI

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:ffff1b00000000ff
Perceptual Hash:88bcf6438315cc7e
Difference Hash:c630b3fac3c3dde1
Wavelet Hash:ffff1f0b000000ff
Color Hash:#ae87c5

Scan History

Scan history not available

Unable to load historical scan data