Security Scan Report: wallnj.gov

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Submitted: Nov 24, 2025, 9:03:11 PMCompleted: Nov 24, 2025, 9:05:48 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 6 domains to perform 79 HTTP transactions. The main domain is wallnj.gov and was registered NaN years ago.

Submitted URL: https://wallnj.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
Established domain age
No suspicious forms or content
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Wall Township, NJ - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

The domain name 'wallnj.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 6 characters in 'wallnj' with one vowel and 5 consonants. Breaking it apart gives 2 words: wall, nj. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.16s
Total Load Time
79
HTTP Requests
6
Domains
6.7 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:4,369 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
59%
government
48%
entertainment media
45%
education learning
33%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
55208.90.191.106United States
AS393775IPP-AS
13142.250.186.131United States
AS15169GOOGLE
5216.239.32.36United States
AS15169GOOGLE
52a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
52620:1ec:bdf::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
52001:4860:4802:32::36United States
AS15169GOOGLE
52a00:1450:4001:827::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
52620:1ec:46::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
513.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
52001:4860:4802:34::36United States
AS15169GOOGLE
7915--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2B33AF0E68C343B811331C8E1BBBB44A8AB4176E7079C55FCBE52B15BD0CE192755AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nJcPcA4Eg11kAvRnTWC6RuNWzKH2w2PyK/nKWAUcTACAC99J5BGqS85ef/l:nZgKvRN3F0a5BTS858l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112248:KM5oFAIYDmOotAUABHMihDJhVKg5h5AglhQyCBIVghlg0eCCoFDghgUAxikIhIi0QUCsMBAFflAY2SgEIwjFUGOJEAnmZAjp

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:001f1e1e1e1e0604
Perceptual Hash:9c2d63756d36c914
Difference Hash:0e3c3434303c3cfd
Wavelet Hash:031f1f1f9e1e0e0d
Color Hash:#2d7386

Scan History

Scan history not available

Unable to load historical scan data