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Security Scan Report: staffordnj.gov

Submitted: Oct 11, 2025, 2:49:27 PMCompleted: Oct 11, 2025, 2:50:38 PMpubliccompleted
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Summary

This website contacted 35 IPs in 2 countries across 16 domains to perform 143 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: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established municipal website with long registration history
No credential‑harvesting or payment collection elements
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Stafford Township, NJ | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(76%)

Domain Information

The domain name 'staffordnj.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'staffordnj' spans 10 characters containing 2 vowels alongside 8 consonants. Word splitting yields 2 words: stafford, nj. Median word length comes out to 5 characters. 'stafford' most strongly signals Croatian. Usage also turns up in Albanian and Bosnian contexts. Taken together, it feels Croatian.

Screenshot

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

Page Load Overview

25.98s
Total Load Time
143
HTTP Requests
16
Domains
7.0 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:15,447 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
76%
government
48%
real estate property
40%
documentation technical
34%
adult content
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
457.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
457.144.248.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
434.218.12.29Boardman, Oregon, United States
AS16509AMAZON-02
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.185.195United States
AS15169GOOGLE
4208.90.191.98United States
AS393775IPP-AS
4157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4104.18.29.155United States
AS13335CLOUDFLARENET
4142.250.186.138United States
AS15169GOOGLE
14335--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135241AF0D5DC2837402732C1F0B96B4965B7467ADA0B1D51FD7F22329BC0CE1A63A5AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ja3aMJ8m9prIZsE3JMP90v4MdRwMszl87c3vmxQYySXIGBTgA0VdhLyJh+TeTRt8:jsaMJ8m9prIZsE3JMP90v4MdRwMszl84

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:222655:CUKCkSdWUAlwiBAAgNRTRACADlgIABAtAVOgCDDKweMgMhEgAqngXlAgMIFalkYIcmscglAWoRaEDCELrPQm8ABFghCijoAE

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:fffec09c1c000000
Perceptual Hash:dad0a58f9f217066
Difference Hash:ca1095393939431d
Wavelet Hash:fffee4fd9d000001
Color Hash:#78663a

Other Hashes

Crop Resistant:ca1095393939431d,642424c4c0a48cae,92934d72746d6d6d,020212cacac22282,1095b9393939421d

Scan History

Scan history not available

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