Security Scan Report: www.mercerisland.gov

Submitted: Nov 24, 2025, 2:22:18 PMCompleted: Nov 24, 2025, 2:23:59 PMpubliccompleted
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Summary

This website contacted 65 IPs in 2 countries across 19 domains to perform 114 HTTP transactions. The main domain is mercerisland.gov and was registered NaN years ago.

Submitted URL: https://www.mercerisland.gov/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Established government domain (mercerisland.gov)
Minimal risk category from domain age analysis
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Home Page | Mercer Island, Washington

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(76%)

Domain Information

The domain name 'www.mercerisland.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Its registrable label 'mercerisland' stretches across 12 characters with 4 vowels and 8 consonants. Breaking it apart gives two words: mercer, island. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mercerisland.gov/

Page Load Overview

1.73s
Total Load Time
114
HTTP Requests
19
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:7,061 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
76%
e-commerce shopping
61%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43104.18.28.155United States
AS13335CLOUDFLARENET
38162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
5142.250.184.195United States
AS15169GOOGLE
313.33.187.6New York, New York, United States
AS16509AMAZON-02
3216.58.206.42United States
AS15169GOOGLE
3142.250.186.68United States
AS15169GOOGLE
3216.58.206.67United States
AS15169GOOGLE
2142.250.185.234United States
AS15169GOOGLE
235.190.52.95United States
AS396982GOOGLE-CLOUD-PLATFORM
234.98.91.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
11465--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1B3C7068CB20033025342D878A7732B7F76C227DA065D6437ECEB99AFC6E969C5716D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Y+Y8qAXFP68dG07jq22ybpyaXy7BklOttywy/xInStScry5y9YT07CCu2C:Y+Y8qAXo0X5K0f7nC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115080:hoBkACi0IAkhkTIbxygBBBbAJ30gQAFURJNgQihxEoEHmG1CCcbCg1IAAAGgUsVGAUFLxEAQEUyBwwBQeMEKIiFlMoxTAkIt

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:ff81700818087eff
Perceptual Hash:c86fb61b8144eed4
Difference Hash:3333e093f1b3b08e
Wavelet Hash:ff83700818087eff
Color Hash:#d2a079

Scan History

Scan history not available

Unable to load historical scan data