Security Scan Report: www.napamosquito.org

Submitted: Dec 11, 2025, 10:28:39 AMCompleted: Dec 11, 2025, 10:31:02 AMpubliccompleted
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Summary

This website contacted 50 IPs in 2 countries across 15 domains to perform 63 HTTP transactions. The main domain is napamosquito.org and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate local government site with no security concerns.

Safety Factors
Well‑established domain registered since 2004
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Site content aligns with public agency purpose
Domain age information unavailable

Details

Page Title

Homepage Napa County Mosquito Abatement District

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.napamosquito.org' is registered, featuring subdomain 'www'. Its registrable label 'napamosquito' stretches across 12 characters with six vowels and 6 consonants. It segments into 2 words: napa, mosquito. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

77.24s
Total Load Time
63
HTTP Requests
15
Domains
1.4 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:2,782 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
42%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14108.138.7.81United States
AS16509AMAZON-02
1108.138.7.50United States
AS16509AMAZON-02
152.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.184.196United States
AS15169GOOGLE
1142.250.185.195United States
AS15169GOOGLE
113.33.50.127New York, New York, United States
AS16509AMAZON-02
1142.250.184.206United States
AS15169GOOGLE
134.36.213.229Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
134.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
1146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
6350--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1C36C9B70D1283253B346C5F07B5385B166402AA64E4C44BFED8AE51FF6CE9613AB3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hLHaYGY85nboiQ1rHw86l4609rKuvqSqJTRDWIhCNqObqfDU7NNJi7/lz:hDaYGJn8ierol4pqSWU7NNJi79z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118268:QQjCI0AA5EiDgVDAUQQh1FGChAYnBBA8oiSwJoKjhERHsAlowgoEhggiiGhARF2oIScWDQTHIioQBBYAAMjFhgehgOMBQCiL

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:ffff7e7e4e000000
Perceptual Hash:d095be3eb91e9418
Difference Hash:32cccc94949491b1
Wavelet Hash:ffff7e7e56000000
Color Hash:#a4e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data