Security Scan Report: newrochelleny.gov

Submitted: Nov 20, 2025, 10:05:12 AMCompleted: Nov 20, 2025, 10:08:18 AMpubliccompleted
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Summary

This website contacted 64 IPs in 2 countries across 22 domains to perform 136 HTTP transactions. The main domain is newrochelleny.gov and was registered NaN years ago.

Submitted URL: https://newrochelleny.gov/

AI Security Verdict

High Risk

Confidence: 88%

9
Risk Score

High‑risk phishing site impersonating a government domain and Google; avoid providing any information.

Risk Factors
Brand impersonation on an unranked .gov domain
Circular redirect indicating possible URL manipulation
Email harvesting form on a site with suspicious content
Unusual, garbled page content suggesting social engineering
Domain age information unavailable

Details

Page Title

New Rochelle, NY | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'newrochelleny.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'newrochelleny' stretches across 13 characters containing 4 vowels alongside 9 consonants. Breaking it apart gives three words: new, rochelle, ny. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.98s
Total Load Time
136
HTTP Requests
22
Domains
6.1 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:6,957 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
47%
documentation technical
29%
real estate property
27%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
67208.90.190.252United States
AS393775IPP-AS
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12142.250.186.131United States
AS15169GOOGLE
10216.198.54.3United States
AS209242Cloudflare London, LLC
6104.26.6.19United States
AS13335CLOUDFLARENET
4216.58.206.42United States
AS15169GOOGLE
3142.250.184.195United States
AS15169GOOGLE
3142.250.184.232United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3216.239.34.36United States
AS15169GOOGLE
13664--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C143CA0F74C2837402721D8B1B7638821BE8376D1065C94FD7E53B01BE9FB9D63A699

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nogKzNeX6K1NpschyZ2mSmpuuCro40rfq40KPen2s5Bm1bukM3YtwOTx7Dk:nH3jmpF1CkUYtwgk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194093:NgzLKUDykCAiiEgITIYsYYIwmZAggKAjiNIKQgQIkSNXpAyICAwwABAImmgA0SAiEAgkQZD6zGVYglPI7TLARBi1gZwMCGAc

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:00ffd3db99db0100
Perceptual Hash:88d623dd0c65763e
Difference Hash:730937333333dbd1
Wavelet Hash:00ffd3db9bdb0300
Color Hash:#bfb940

Scan History

Scan history not available

Unable to load historical scan data