Security Scan Report: ewingnj.org

Submitted: Oct 2, 2025, 12:40:01 PMCompleted: Oct 2, 2025, 12:41:51 PMpubliccompleted
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Summary

This website contacted 79 IPs in 2 countries across 15 domains to perform 94 HTTP transactions. The main domain is ewingnj.org and was registered NaN years ago.

Submitted URL: https://ewingnj.org/government/news/1327-recent-notice-from-nj-state-division-of-taxation-for-anchor-benefit-filers

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

The page appears to be a legitimate municipal notice about the ANCHOR benefit program.

Risk Factors
Domain is UNRANKED in Cisco Umbrella (not in top 1 M)
Page includes a generic “Portal Login” label that could be confusing
Safety Factors
Well‑established domain (registered in 2008)
Official municipal domain (ewingnj.org)
No malicious Indicators of Compromise detected
No credential‑stealing or payment collection forms
Domain age information unavailable

Details

Page Title

Ewing New Jersey - Recent Notice from NJ State Division of Taxation for ANCHOR Benefit Filers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(92%)

Domain Information

You're looking at domain 'ewingnj.org' on the non-profit oriented generic top-level domain (.org) and has no subdomain. The core label 'ewingnj' covers 7 characters containing 2 vowels alongside five consonants. Breaking it apart gives two words: ewing, nj. Median word length comes out to 3.5 characters. 'wing' is most common in Albanian usage. Usage also turns up in Chinese (Zhuyin) and Bosnian contexts. Net impression: Albanian phrase.

Screenshot

Security scan screenshot of https://ewingnj.org/government/news/1327-recent-notice-from-nj-state-division-of-taxation-for-anchor-benefit-filers

Page Load Overview

39.16s
Total Load Time
94
HTTP Requests
15
Domains
1.2 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-gb
Text Length:11,085 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
92%
forum community discussion
71%
corporate
35%
news/blog
20%
news
15%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1637.19.194.80Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1151.101.66.217San Francisco, California, United States
AS54113FASTLY
1104.18.10.207United States
AS13335CLOUDFLARENET
1172.217.16.202United States
AS15169GOOGLE
1172.217.16.155United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1104.18.11.207United States
AS13335CLOUDFLARENET
1142.250.184.238United States
AS15169GOOGLE
1151.101.2.217San Francisco, California, United States
AS54113FASTLY
1104.17.24.14United States
AS13335CLOUDFLARENET
9479--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176D3B5234080107EA13380C8AC7E674D63A5B31EF70F5DD02CAAE59577DAE83957B99E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:q91t+RPTU9D95AGkkbJOju6rEETqpQ1w6o67qaEF5AzktbJOjJ6r9XAJCdWu2w9L:q/tCU9D95AGkkbJOju6rEETqpQ1w6o6o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130974:MbAqCcSB4IUig0OIjichABAHQOKEjACOY0kKYQFIMGLBVgbxEMKYAXAqwYAEJ4L0gDmJBpNaBmJgEZLIQwBPTAcLkB1qQgBA

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:0000fff9d9f9ffff
Perceptual Hash:e91616496996b6e9
Difference Hash:24143e33333b383b
Wavelet Hash:00fa83c98981ffcf
Color Hash:#ad79d2

Scan History

Scan history not available

Unable to load historical scan data