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Security Scan Report: www.mosquitoes.org

Submitted: Dec 14, 2025, 6:43:06 AMCompleted: Dec 14, 2025, 6:47:06 AMpubliccompleted
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Summary

This website contacted 29 IPs in 2 countries across 24 domains to perform 75 HTTP transactions. The main domain is mosquitoes.org and was registered NaN years ago.

Submitted URL: https://www.mosquitoes.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Well‑established domain with minimal risk category
No suspicious forms or data collection
Content appears to be a public health information site
Domain age information unavailable

Details

Page Title

Homepage Alameda County Mosquito Abatement District

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.mosquitoes.org' is registered with subdomain 'www'. Its registrable label 'mosquitoes' stretches across 10 characters split between 5 vowels and 5 consonants. Word splitting yields 1 word: mosquitoes. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mosquitoes.org/

Page Load Overview

237.76s
Total Load Time
75
HTTP Requests
24
Domains
4.1 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:4,365 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.186.170United States
AS15169GOOGLE
2104.19.230.21United States
AS13335CLOUDFLARENET
252.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
213.33.50.127New York, New York, United States
AS16509AMAZON-02
213.35.58.11United States
AS16509AMAZON-02
218.172.114.101United States
AS16509AMAZON-02
2162.247.241.14United States
AS23467NEWRELIC-AS-1
2142.251.141.106United States
AS15169GOOGLE
234.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
7529--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
Google-Tag-Manager
100%
Google-AnalyticsvUniversal
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7C35B8B71D1343252B34AC5F06A9385F267402AAA4E4C507AAD8BD51FF2CE5213EB3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oc7akqb8hSDQstvvIAmlwyxA0E4up7QCc5OGQXyLm5XdmMikbDe/uzwD8Z6M+9HY:oeakqaS86vYlDo75c97NpM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127625:mmEAXdAFL5qljuEFChAEwCRCnFEUIggQA4QMlGlkEWwQRHbBD0lTQOrBBHROhHkWJUiAQsoAARHCMjOICg61KhXHBxQkAAAI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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