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Security Scan Report: staffordnj.gov

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Submitted: Oct 2, 2025, 1:23:53 PMCompleted: Oct 2, 2025, 1:26:15 PMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 9 domains to perform 86 HTTP transactions. The main domain is staffordnj.gov and was registered NaN years ago.

Submitted URL: https://staffordnj.gov/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or data collection
Official municipal branding and contact information
Domain age information unavailable

Details

Page Title

Stafford Township, NJ | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(72%)

Domain Information

The domain name 'staffordnj.gov' uses the United States government-restricted top-level domain (.gov). The registrable portion 'staffordnj' spans 10 characters containing two vowels alongside eight consonants. Splitting it apart reveals two words: stafford, nj. The median word length lands at five characters. 'stafford' is most common in Croatian usage. You will also see it in Albanian and Bosnian contexts.

Screenshot

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

Page Load Overview

79.59s
Total Load Time
86
HTTP Requests
9
Domains
11.0 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:15,939 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service72% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
72%
documentation technical
57%
government
48%
real estate property
31%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1750.112.179.225Boardman, Oregon, United States
AS16509AMAZON-02
3208.90.191.98United States
AS393775IPP-AS
3142.250.186.131United States
AS15169GOOGLE
313.107.253.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3172.217.16.202United States
AS15169GOOGLE
3142.250.186.74United States
AS15169GOOGLE
3104.18.28.155United States
AS13335CLOUDFLARENET
3104.18.29.155United States
AS13335CLOUDFLARENET
3142.250.186.99United States
AS15169GOOGLE
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
8624--

Detected Technologies7

JQueryv2.2.4
100%
CivicPlus
40%
jQuery UI
20%
Moment.js
20%
Google Tag Manager
20%
AudioEye
20%
Alpine.js
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C92419F0D6DC2837402722C1F0BD6789A5B6467ADA0B5C50FD7F52325FC0CE1A63A5AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:jEuV2yB/+MNUZzOip42JI5duU5ZBQu7WTWvmsbD7ron9U6hleVPL1Ck+TyAJL/1u:jZV2yB/+MNUZzOip42JI5duU5ZBQu7Wm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215654:UOOfJGjEgKKAcDADCAARLIxHDKgAAEA/DEwpDFcwhQBFyBEFAHH2IAjtEDKC3EkCJgRcAIiQYqCOPU0RiEFEAWFgRxBAKtEQ

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:ffffffffff000000
Perceptual Hash:aa812005c47f7f77
Difference Hash:8a890d698d494b05
Wavelet Hash:7f6fe7ffc7000000
Color Hash:#783a4b

Other Hashes

Crop Resistant:8a890d698d494b05,020212cacac22282,484a556a4a152901

Scan History

Scan history not available

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