Security Scan Report: www.acnj.gov

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Submitted: Nov 23, 2025, 2:58:55 AMCompleted: Nov 23, 2025, 3:01:25 AMpubliccompleted
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Summary

This website contacted 126 IPs in 2 countries across 35 domains to perform 236 HTTP transactions. The main domain is acnj.gov and was registered NaN years ago.

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

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Site hosts a known malware link; treat as high‑risk and do not trust.

Risk Factors
Presence of a malicious external link (linkprotect.cudasvc.com) associated with IcedID
Unranked domain status for a site claiming official municipal authority
Potential compromise of the site to host malicious redirects
Domain age information unavailable

Details

Page Title

The Official Website of City of Atlantic City, NJ - Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.acnj.gov' is registered and includes subdomain 'www'. The core label 'acnj' covers 4 characters holding one vowel versus three consonants. Breaking it apart gives two words: ac, nj. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.19s
Total Load Time
236
HTTP Requests
35
Domains
23.5 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:30,103 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
58%
government
48%
healthcare medical
28%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12052.6.112.83Ashburn, Virginia, United States
AS14618AMAZON-AES
111151.101.194.137San Francisco, California, United States
AS54113FASTLY
35157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
7157.240.253.2Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
7142.250.186.131United States
AS15169GOOGLE
6195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
5157.240.0.3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4172.67.142.245United States
AS13335CLOUDFLARENET
4157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.186.36United States
AS15169GOOGLE
236126--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C28441335B956A66018EBAC069F8AF54F6324E5BC50E6C20749C47427FA2E49E0F73CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5C/Cneeqc1jbghUvoW9yPLrV/wKevq81ddhxlp2kAsovEVh+PhJjB55Ji7V7pf8+:/b0kLV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:383334:mZrwmXxAGAkAGUCIgBgMYkuARMsjRTgAyuU1RIAklCCIkBFBAMLEWsQ+BCEkUEoBw1QQCS95myEh4Te5ACQSArIAEAExCcmS

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:ffff00f8c08000df
Perceptual Hash:d8c1ad77e843dc06
Difference Hash:1e1e808905345137
Wavelet Hash:ffff40f8c08000df
Color Hash:#b587c5

Scan History

Scan history not available

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