Security Scan Report: fairfieldtownshipnj.gov

Submitted: Oct 2, 2025, 7:27:16 PMCompleted: Oct 2, 2025, 7:28:27 PMpubliccompleted
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Summary

This website contacted 19 IPs in 1 country across 6 domains to perform 99 HTTP transactions. The main domain is fairfieldtownshipnj.gov and was registered NaN years ago.

Submitted URL: https://fairfieldtownshipnj.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with minimal risk.

Safety Factors
Official government TLD (.gov)
No malicious Indicators of Compromise
No password or payment collection forms
Domain age information unavailable

Details

Page Title

Fairfield Township, NJ | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(81%)

Screenshot

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

Page Load Overview

24.43s
Total Load Time
99
HTTP Requests
6
Domains
5.1 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:3,555 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
81%
healthcare medical
64%
government
48%
technology software
42%
education learning
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5142.250.185.195United States
AS15169GOOGLE
5216.58.206.72United States
AS15169GOOGLE
5216.239.34.36United States
AS15169GOOGLE
5142.250.186.74United States
AS15169GOOGLE
5208.90.190.3United States
AS393775IPP-AS
5216.239.32.36United States
AS15169GOOGLE
5142.250.184.227United StatesUnknown
52a00:1450:4001:812::2003United StatesUnknown
52001:4860:4802:34::36United StatesUnknown
9919--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFD34AF4E24C2437401332D5F07AAB88A8FA46B9E7075C55FDBE12A097E4CF0D5752AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jXAcA4FX11kAp8Xfxdl/VgE4HRpHx6uNgnb6/BEH+I4w5/TmUZ5l5nUZ2zd95BxA:jjZzp8vypV++omy5Bxu2w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138316:UHlgAKBAgDeEUGBBVJBhIGsBCKAAhEHlq5UIAAAS4EHEWoosxG4GIUSFEAIEGdCEkebgGhxCBiJwQgVggSBnCOGAQ6Aig0DW

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:f9af010000bbffff
Perceptual Hash:af3bd0c54d482b33
Difference Hash:634f1b336373070c
Wavelet Hash:f987010000b9ffff
Color Hash:#d2798b

Scan History

Scan history not available

Unable to load historical scan data