Security Scan Report: www.napamosquito.org

Submitted: Dec 20, 2025, 3:07:44 PMCompleted: Dec 20, 2025, 3:08:33 PMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 15 domains to perform 57 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: 95%

0
Risk Score

The site appears to be a legitimate municipal website with no phishing or malicious activity.

Safety Factors
Well‑established domain with minimal risk
Absence of credential‑harvesting or payment forms
Legitimate use of a Google translation widget does not constitute impersonation
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

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

Screenshot

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

Page Load Overview

11.08s
Total Load Time
57
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
313.33.50.121New York, New York, United States
AS16509AMAZON-02
3108.138.7.20United States
AS16509AMAZON-02
3108.138.7.50United States
AS16509AMAZON-02
334.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
3216.58.206.74United States
AS15169GOOGLE
3162.247.243.39United States
AS54113FASTLY
352.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
3142.250.186.174United States
AS15169GOOGLE
3108.138.7.107United States
AS16509AMAZON-02
3162.247.243.29United States
AS54113FASTLY
5719--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8C36C9B70D1283253A346C5F07B5386B262402BA64E4C547FED8AE51FE5CE9613EB3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:R57a4qb8h4DQtCvLIAmlwyxmrnuv50HSqmkVDWIhCNqObqfDo7NNJi7/l+T1TM:RRa4qa480vElDt50HS8o7NNJi79D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119654:rkkJmAkUS4iwgaQtORKYIozgAUAAImQBC8FIPRjAkEGom5FABBCIIEBEBgFXQZhgJJAQhCBKZFySMgMbKIYSYANJT2LkIEEW

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:ffff0000060f0000
Perceptual Hash:91fddc96614b1076
Difference Hash:32369acaccfce8e0
Wavelet Hash:ffffc262273f0000
Color Hash:#d2c22d

Scan History

Scan history not available

Unable to load historical scan data