Security Scan Report: www.hobokennj.gov

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Submitted: Dec 9, 2025, 3:06:40 AMCompleted: Dec 9, 2025, 3:08:31 AMpubliccompleted
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Summary

This website contacted 71 IPs in 3 countries across 23 domains to perform 328 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 government site with no security concerns

Safety Factors
Official government domain (hobokennj.gov)
Long‑standing domain registration
No suspicious forms or redirects
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Hoboken NJ Website

Scan Type

public

Language

🇺🇸

English

(42% confidence)

Category

government public service

(73%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.hobokennj.gov' is registered and includes subdomain 'www'. Count 9 characters in 'hobokennj' split between 3 vowels and 6 consonants. It segments into two words: hoboken, nj. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

20.08s
Total Load Time
328
HTTP Requests
23
Domains
15.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:42%
Script Type:Latin
Text Length:17,762 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service73% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
73%
government
48%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4818.165.140.38United States
AS16509AMAZON-02
451.21.126.187Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
413.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
413.33.235.121New York, New York, United States
AS16509AMAZON-02
413.33.235.71New York, New York, United States
AS16509AMAZON-02
4216.239.32.36United States
AS15169GOOGLE
4104.18.94.41United States
AS13335CLOUDFLARENET
4142.251.38.67United States
AS15169GOOGLE
418.165.140.58United States
AS16509AMAZON-02
413.33.235.77New York, New York, United States
AS16509AMAZON-02
32871--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FB38472E4C0142701870EC4B2A57F6FA5E7835DD6034886FAB587D62BDBC54CA2EB2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:MsNDxmGlc8Xo46uU3o0bQWrAKY445qBMeURPE0yaaudVzpBoOUHJpL4MkuUp2h1W:p5u/58nxXL/oZoOqPgrwfJ8vcmBXZy7D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108408:IsIIACJWNQBH0OQWshILAeoEVgEEqhYQRSMJAotBJDSwCQA4gKRizHk9cSCiEmZhiPAFQBwAAUQCAQFUrngGhqBILWQgYgHU

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:ff3f00003c3c3c38
Perceptual Hash:9a25a5c665607c5f
Difference Hash:6b7135a569696979
Wavelet Hash:ffbf00003c3c3cbc
Color Hash:#1f934e

Scan History

Scan history not available

Unable to load historical scan data