Security Scan Report: flaglermosquito.gov

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Submitted: Dec 25, 2025, 12:19:58 AMCompleted: Dec 25, 2025, 12:20:14 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 9 domains to perform 52 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: 80%

3
Risk Score

Site appears legitimate but shows Facebook branding on an unranked domain.

Risk Factors
Brand impersonation (Facebook) on a non-Facebook domain
Safety Factors
Domain age 1225 days (well established)
No malicious Indicators of Compromise detected
No password or payment fields in the form
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). The core label 'flaglermosquito' covers 15 characters split between 6 vowels and nine consonants. Splitting it apart reveals 2 words: flagler, mosquito. Median word length is 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.38s
Total Load Time
57
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
12192.0.72.2San Francisco, California, United States
AS2635AUTOMATTIC
9192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
9104.21.66.52United States
AS13335CLOUDFLARENET
9157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
9192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
9192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
576--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11CA31AF261A8147A671B074AA006736471BADB71CF4256F4F1F6915C8FCAEB906F230E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gS4DypxiW1hRM/koLWv11LBGuWUaEHp3Eqqm4zJkVavskXpP4O:BTb1LBgUAzJkVakk5P4O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103837:ZC4C5ugQQARIKjAHcFUAsZoGHAgCCWYkgkJmSLIWKQVBEAXAzFJMVAIRkwRQCUIAk+uyXhAQlWhMBQzAIAAE4FQBmmCrAGI1

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:ffe767677f3f7fd9
Perceptual Hash:80f2fd8d78f600d6
Difference Hash:628e8c8ed6c0c833
Wavelet Hash:1a676743033f3f81
Color Hash:#ac539a

Scan History

Scan history not available

Unable to load historical scan data