Security Scan Report: bethlehemnj.org

Submitted: Oct 26, 2025, 2:48:28 PMCompleted: Oct 26, 2025, 2:49:32 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 7 domains to perform 72 HTTP transactions. The main domain is bethlehemnj.org and was registered NaN years ago.

Submitted URL: https://bethlehemnj.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
Only standard subscription and contact forms
No credential harvesting or payment collection
Domain age information unavailable

Details

Page Title

Township of Bethlehem | Hunterdon County, NJ

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(80%)

Domain Information

The domain name 'bethlehemnj.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. Its registrable label 'bethlehemnj' stretches across 11 characters holding 3 vowels versus 8 consonants. It segments into 2 words: bethlehem, nj. Average segment length settles at 5.5 characters. 'nj' most strongly signals Albanian. It also appears in Danish and German contexts. Overall, 'bethlehemnj.org' reads as Albanian.

Screenshot

Security scan screenshot of https://bethlehemnj.org/

Page Load Overview

43.14s
Total Load Time
72
HTTP Requests
7
Domains
1.3 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-US
Text Length:4,623 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service80% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
80%
news/blog
20%
forum
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.250.185.206United States
AS15169GOOGLE
457.150.87.129Washington, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
440.123.47.58Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.184.234United States
AS15169GOOGLE
418.173.206.149United States
AS16509AMAZON-02
4142.250.186.35United States
AS15169GOOGLE
4174.127.70.147New York, New York, United States
AS13213UK-2 Limited
418.173.206.200United States
AS16509AMAZON-02
418.173.206.72United States
AS16509AMAZON-02
42a00:1450:4001:811::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
7216--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B44F85F9BB93579B0139345BDA9A33896EC8133DB020DD1BDFDE1289B83786017229D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6ZDSsxA4kQSpgDgdEStfqBtf0+3w2VTOtfqBtf0+3O2VTOtfqBtf0+3H2VTOtfqy:iDSsxA4kQSwL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:259361:UQXIAnOMG5jJR6EchIuvQGcBFQmRRABBwUBCCFMZlAAQIozXA2oGYC3AhAACxEQAQ+myUiSlIKIakAdiGDLAE58KMTgfVwHI

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:ffff003c3c180100
Perceptual Hash:8ad533cccc33768c
Difference Hash:4101617171718f63
Wavelet Hash:ffff183c3d190101
Color Hash:#9479d2

Scan History

Scan history not available

Unable to load historical scan data