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Security Scan Report: www.hermosabeach.gov

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Submitted: Oct 20, 2025, 9:25:09 PMCompleted: Oct 20, 2025, 9:26:39 PMpubliccompleted
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Summary

This website contacted 69 IPs in 4 countries across 20 domains to perform 109 HTTP transactions. The main domain is hermosabeach.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Government domain with verified registration date
Established domain age reduces phishing likelihood
Absence of credential‑harvesting or payment collection forms
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Access Denied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(80%)

Domain Information

You're looking at domain 'www.hermosabeach.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The registrable portion 'hermosabeach' spans 12 characters split between 5 vowels and seven consonants. Splitting it apart reveals 2 words: hermosa, beach. Median word length comes out to six characters. Most frequently, 'hermosa' shows up in Spanish. Secondary signals appear in Catalan and Norwegian. Taken together, it feels Spanish.

Screenshot

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

Page Load Overview

36.17s
Total Load Time
109
HTTP Requests
20
Domains
9.4 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:10,515 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
80%
government public service
67%
government
48%
education learning
34%
news media journalism
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41100.29.101.152Ashburn, Virginia, United States
AS14618AMAZON-AES
113.33.187.6New York, New York, United States
AS16509AMAZON-02
1142.250.185.174United States
AS15169GOOGLE
135.190.52.95United States
AS396982GOOGLE-CLOUD-PLATFORM
134.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1142.250.185.99United States
AS15169GOOGLE
113.35.58.75United States
AS16509AMAZON-02
123.205.48.137Rome, Lazio, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
1216.239.32.36United States
AS15169GOOGLE
134.98.91.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
10969--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13734E718F5E12033502353E82E9EB73832E19117D21A5DA57EED7B841F8DFA1AE83749

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rzI/f6CNnBrcLQ9XWI01AS8tJrPH7ttl1DDVD4+/hBnew3YAw4Kf:kSI01AS8n7ttnVVYAwd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231793:8QUYzlAAMlDBegFzxkECXGQGpQAYwoCnMAABAChgKqAARXYJagjAgRksogUQgjgiCAhg2EKFCGMJ4JRxAEQkguQj5ozDBoiA

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:ff001c9c1c1cff00
Perceptual Hash:989ca3e7dcdc1312
Difference Hash:230d303030b10755
Wavelet Hash:ff001c9c1c1fff01
Color Hash:#53ac8d

Other Hashes

Crop Resistant:2d6d0d0d2e6e2e2e,b88a2bb0c8d4e8e9,230c303030b10755

Scan History

Scan history not available

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