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Security Scan Report: www.hobokennj.gov

Submitted: Oct 25, 2025, 9:13:05 AMCompleted: Oct 25, 2025, 9:14:14 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is hobokennj.gov and was registered NaN years ago.

Submitted URL: https://www.hobokennj.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Long‑standing, reputable .gov domain
Established domain age reduces likelihood of phishing
Absence of suspicious forms or scripts
Domain age information unavailable

Details

Page Title

Hoboken NJ Website

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(95%)

Domain Information

The domain name 'www.hobokennj.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'hobokennj' stretches across 9 characters containing 3 vowels alongside 6 consonants. It segments into two words: hoboken, nj. The median word length lands at 4.5 characters. 'nj' most strongly signals Albanian. You will also see it in Danish and German contexts. Overall, 'www.hobokennj.gov' reads as Albanian.

Screenshot

Security scan screenshot of https://www.hobokennj.gov/

Page Load Overview

5.83s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:12,059 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%
forum
40%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
015.161.34.42Milan, Lombardy, Italy
AS16509AMAZON-02
015.160.106.203Milan, Lombardy, Italy
AS16509AMAZON-02
035.152.117.67Milan, Lombardy, Italy
AS16509AMAZON-02
23--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B736472D1C0243B12531EC573607F6FF6E3921ED7128846F6F9868A2BD6D81C91AF29

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mxg/Gf8XoBHVoZdJ0c20Yw5MMCu4E8d/Ic4OdVAnWogm7XNRPq1Dw5qM83scLR+y:SzRWk7FWWo77gdIRWk7FU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75644:iAZODsSMuEC1ChDBiIBjnDA2AUGEUnKqTkhUIMC+GDCBOQoEJRoFSBIIAoNswMMohhBhORRkEBAVnI2AGRWAKh4gigEBx7Rg

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:1fffffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f07
Difference Hash:f020000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#c58795

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

Unable to load historical scan data