Security Scan Report: cityofdoral.com

Redirected to: https://www.cityofdoral.com/

Submitted: Mar 30, 2026, 11:29:11 PMCompleted: Mar 30, 2026, 11:30:54 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 12 domains to perform 1 HTTP transaction. The main domain is cityofdoral.com and was registered NaN years ago.

Submitted URL: https://cityofdoral.com

Effective URL: https://www.cityofdoral.com/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Home - City of Doral

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

technology software

(39%)

Domain Information

The domain name 'cityofdoral.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'cityofdoral' spans 11 characters split between four vowels and seven consonants. Word splitting yields 3 words: city, of, doral. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cityofdoral.com

Page Load Overview

1.10s
Total Load Time
3
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:129 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
39%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.190.93.146United States
023.52.180.163United States
0192.178.183.94United StatesUnknown
0216.58.206.74United StatesUnknown
0142.251.110.94United StatesUnknown
013.33.187.103United StatesUnknown
0172.217.16.170United StatesUnknown
052.247.170.120Boydton, Virginia, United States
AS8075Microsoft Corporation
023.50.131.156United StatesUnknown
034.98.105.146United StatesUnknown
312--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BB48E328257103F42E382D535A5A74C35B7429AF66A4993BAAC0B4C7FC8F535B2335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:sU42Q7nevD0EmaH4AEW0bm9UCFm9a4KdIaz8r5R:vQrevD0taGqUIcdR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:512827:wAOCKkAnAAYDCIORTYAPA2CmAkihgqQRGsAwAaCTJAKgk0xmWQWgAyIMoAYlAEhoIZl4RDISy4ADPNUQTkANBBAEA5sQjQTA

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:ffff00180000ffff
Perceptual Hash:8e4fb33e2ccd4330
Difference Hash:26e8e0f0b1f0f08a
Wavelet Hash:ff3f00180000ffff
Color Hash:#5dbf40

Scan History

Scan history not available

Unable to load historical scan data