Security Scan Report: www.tapinto.net

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Submitted: Oct 2, 2025, 2:26:02 PMCompleted: Oct 2, 2025, 2:27:51 PMpubliccompleted
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Summary

This website contacted 87 IPs in 2 countries across 24 domains to perform 157 HTTP transactions. The main domain is tapinto.net and was registered NaN years ago.

Submitted URL: https://www.tapinto.net/towns/denville/sections/government/articles/denville-homeowners-and-renters-have-until-oct-31-to-apply-for-anchor-property-tax-relief

The Cisco Umbrella rank of the primary domain is #408,350 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears to be a legitimate local news source with low risk, though its low ranking suggests modest caution.

Risk Factors
Low Cisco Umbrella ranking (408,350) for a news site
Presence of an email collection form (potential for spam)
Safety Factors
Well‑established domain registration date (2013)
No malicious Indicators of Compromise detected
No phishing or malware indicators in page content
Uses reCAPTCHA to mitigate automated abuse
Domain age information unavailable

Details

Page Title

Denville Homeowners and Renters Have Until Oct 31 to Apply for ANCHOR Property Tax Relief | Denville, NJ News TAPinto | TAPinto

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(49%)

Domain Information

Domain 'www.tapinto.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'www'. Its registrable label 'tapinto' stretches across 7 characters with three vowels and 4 consonants. Breaking it apart gives two words: tap, into. The median word length lands at 3.5 characters. 'tap' is most common in Chinese (Pinyin) usage. You may catch it in English and Chinese (Zhuyin) as well.

Screenshot

Security scan screenshot of https://www.tapinto.net/towns/denville/sections/government/articles/denville-homeowners-and-renters-have-until-oct-31-to-apply-for-anchor-property-tax-relief

Page Load Overview

50.97s
Total Load Time
157
HTTP Requests
24
Domains
4.3 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:3,180 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism49% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
49%
government public service
45%
real estate property
36%
news/blog
35%
corporate
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7116.182.73.1Ashburn, Virginia, United States
AS16509AMAZON-02
1100.28.67.249Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.186.40United States
AS15169GOOGLE
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
13.5.25.30United States
AS14618AMAZON-AES
118.66.102.106United States
AS16509AMAZON-02
13.5.30.202United States
AS14618AMAZON-AES
144.213.12.36Ashburn, Virginia, United States
AS14618AMAZON-AES
1172.217.16.194United States
AS15169GOOGLE
1142.250.185.66United States
AS15169GOOGLE
15787--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5443AA69BE01411711F9698A0AB3B5AF76DC003D70EEE64A7F035BCBEC42D1945378E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1lA7SQmnJ3v3Nj11Xq/DwtDU5TP8enzmu5vqK/rQnXtW:vAUFj11Xq/DwtDU5TKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:269800:BgEBCCBzDRRCJoQi0VgN4vCCUBoroYCkoQIIc2dIEOAGAKUrb4DzUlBgBoSE44lRxQogQAABFg0CBhBA4ItoDBwITYARHtfA

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:0000e7ffffff8787
Perceptual Hash:bf413d0dc534e4a5
Difference Hash:36798e0e736f0e0e
Wavelet Hash:0000e7ffff878383
Color Hash:#74ac53

Scan History

Scan history not available

Unable to load historical scan data