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Security Scan Report: flaglermosquito.gov

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Submitted: Dec 3, 2025, 9:05:11 AMCompleted: Dec 3, 2025, 9:05:51 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 12 domains to perform 58 HTTP transactions. The main domain is flaglermosquito.gov and was registered NaN years ago.

Submitted URL: https://flaglermosquito.gov/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site appears legitimate but circular redirect is a minor concern

Risk Factors
Circular redirect detected
Safety Factors
Established domain age (>3 years)
No malicious Indicators of Compromise
No credential or payment collection forms
Government .gov TLD
Domain age information unavailable

Details

Page Title

East Flagler Mosquito Control District – Serving the Community Since 1952

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'flaglermosquito.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 15 characters in 'flaglermosquito' with 6 vowels and 9 consonants. Tokenizing the label suggests 2 words: flagler, mosquito. Average segment length settles at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.52s
Total Load Time
58
HTTP Requests
12
Domains
1.9 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:1,510 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
social media network
41%
government public service
31%
healthcare medical
29%
corporate
25%

Detected Features

Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.21.66.52United States
AS13335CLOUDFLARENET
15157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
14192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
5192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
5172.67.156.251United States
AS13335CLOUDFLARENET
5192.0.72.2San Francisco, California, United States
AS2635AUTOMATTIC
52a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
52a03:2880:f177:185:face:b00c:0:25deFrankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
5811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CB31AF261AC147A671B074AB0067358717EDA35CF4256F5F1F2916C8BCAEB906E230E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jw9ypxiW1hRM/koLWv1lLwkr/veL6EHp35H9m42CkVNvAkXSg4s:bblLwrL92CkVNokCg4s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112559:iA7QAIMu2jQGD9oJcwxBD4BRNxCMEAWmM1kqEFQ+BFmC4GykQwAXACAIAOChQEAARBsgBMQ2jJFNqAUGlTZpDF4QsuYYAggW

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:ffffffffffe7c3c3
Perceptual Hash:b38d3433cc7863cc
Difference Hash:58780014084d968e
Wavelet Hash:061efffee4c0c0c0
Color Hash:#361f93

Other Hashes

Crop Resistant:58780014084d968e,1cfce2d99c1c1653,0f33455939694149

Scan History

Scan history not available

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