ScanMalware.com

Security Scan Report: staffordnj.gov

Site favicon
Submitted: Oct 8, 2025, 4:15:35 PMCompleted: Oct 8, 2025, 4:17:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 23 IPs in 2 countries across 11 domains to perform 107 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 website with no security concerns.

Safety Factors
Established government domain (staffordnj.gov)
No malicious Indicators of Compromise
Standard public‑service content only
Domain age information unavailable

Details

Page Title

Stafford Township, NJ | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

The domain 'staffordnj.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'staffordnj' stretches across 10 characters containing 2 vowels alongside 8 consonants. Breaking it apart gives two words: stafford, nj. The median word length lands at five characters. 'stafford' most strongly signals Croatian. You may catch it in Albanian and Bosnian as well.

Screenshot

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

Page Load Overview

35.56s
Total Load Time
107
HTTP Requests
11
Domains
11.8 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:12,829 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
48%
government
48%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.18.29.155United States
AS13335CLOUDFLARENET
4216.239.32.36United States
AS15169GOOGLE
4142.250.185.232United States
AS15169GOOGLE
457.144.244.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.185.234United States
AS15169GOOGLE
457.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4208.90.191.98United States
AS393775IPP-AS
413.107.226.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4172.217.18.3United States
AS15169GOOGLE
413.107.253.44United StatesUnknown
10723--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104143AF0D69C3837802331C0F0B96B89A5FB5676EA0B5D55FDBE22218BC0CE1953659B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jaYAcA4Cm18SkAloA4kXGUKBUUyZLjkWEl5BEIwnFajxzb/52Zj82Zog46aI93cu:jX+2lo5EznFajxMwj5BGY1e7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190472:QhBuohIZ0AMlA0AFiQEQA2JFWLxfGsCoCkSOSGQw4Yh00YLVEABCArCsEMBJcBOkjhBCCWWixLGgfBwlMqBGSgygChITYAYE

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:ffdf087c58000000
Perceptual Hash:c8d8b7a7c2cba429
Difference Hash:ce15b1e9b9cf5b3d
Wavelet Hash:ffcd587c5803009f
Color Hash:#53ac8d

Other Hashes

Crop Resistant:ce15b1e9b9cf5b3d,ba3edcccac6c4c46,920f4c72ec4d4d6f,2b99d6f5e4c6caea,020212cacac22282,14b1b9b98f4e4a3c

Scan History

Scan history not available

Unable to load historical scan data