Security Scan Report: staffordnj.gov

Submitted: Nov 17, 2025, 5:12:59 PMCompleted: Nov 17, 2025, 5:14:26 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 12 domains to perform 93 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%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Well‑established domain (over 22 years old)
Government TLD (.gov) typically trusted
No credential or payment collection forms
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

(53%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'staffordnj.gov' is registered with no subdomain. The second-level label 'staffordnj' is 10 characters long split between 2 vowels and 8 consonants. Word splitting yields two words: stafford, nj. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

44.65s
Total Load Time
93
HTTP Requests
12
Domains
2.7 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:13,015 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
53%
government
48%
real estate property
28%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3113.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.184.227United States
AS15169GOOGLE
257.144.248.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.181.227United States
AS15169GOOGLE
2142.250.184.195United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2216.58.206.74United States
AS15169GOOGLE
2142.250.185.234United States
AS15169GOOGLE
2142.250.186.131United States
AS15169GOOGLE
257.144.248.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
9332--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1342419F0D29C2837812331C0F4BD6B49A5FB5677EA0B5D50FDBE62218BC0CE195365AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nZgYPcA4Cj18BkASoA4kXGUKBUUyZLjkWEl5IQrnXadubfHxqxB46aI9395BGY1/:n0+YSoAynXadu25BGY1xnVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:211483:GB5YWD5T4WgeWErAqMBCCASoIBKjBjAIgwwFBBEJhgAK2YMgA2AQxJCpcwAAIKsogRoYBEWyyDeEYLg/psDIFtSE4GGBhQAI

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:ffff0018fc000000
Perceptual Hash:cac4a4e3ca0b3d75
Difference Hash:cd8c9269e9494b55
Wavelet Hash:ffff9818ff280001
Color Hash:#79d28f

Scan History

Scan history not available

Unable to load historical scan data