Security Scan Report: www.hermosabeach.gov

Submitted: Oct 14, 2025, 12:55:58 AMCompleted: Oct 14, 2025, 12:57:51 AMpubliccompleted
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Summary

This website contacted 102 IPs in 4 countries across 24 domains to perform 121 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: 96%

0
Risk Score

Legitimate city website with no security concerns.

Safety Factors
Established government domain
Long domain age (>6 years)
No credential or payment collection forms
No external malicious links
Domain age information unavailable

Details

Page Title

Access Denied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.hermosabeach.gov' is registered, featuring subdomain 'www'. The core label 'hermosabeach' covers 12 characters with five vowels and 7 consonants. Tokenizing the label suggests 2 words: hermosa, beach. Median word length comes out to six characters. The linguistic tilt is Spanish for 'hermosa'. Usage also turns up in Catalan and Norwegian contexts.

Screenshot

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

Page Load Overview

52.15s
Total Load Time
121
HTTP Requests
24
Domains
9.9 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:10,809 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
63%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2054.163.97.13Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.181.234United States
AS15169GOOGLE
134.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
169.192.160.133Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
135.190.93.146United States
AS396982GOOGLE-CLOUD-PLATFORM
1142.250.185.99United States
AS15169GOOGLE
123.212.205.194Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
113.33.187.103New York, New York, United States
AS16509AMAZON-02
113.33.187.114New York, New York, United States
AS16509AMAZON-02
1142.250.74.200United States
AS15169GOOGLE
121102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E34E718E5E12033501353E82E9EB73832E19217D21A5DE57EED7B841F8DFA1AE83749

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wzC/f6CjnBrcWHQ9XWI01AS8tJrPH7ttF1DBV84+/hBnew3YAw4i7cf:DnpI01AS8n7ttlVwYAw2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:237862:tQIjCYENI0ekAVCBRjRZIijSiQoBTU0swCiAgAIqiNDhMBuBJATJKiVaBFUoKoQyEIQGgFABwCJFRhITGBeMAsHgAo1q4EQA

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:ff00181818d1ff00
Perceptual Hash:9c9de3e2989c6760
Difference Hash:33cc323231230d55
Wavelet Hash:ff001a1b19dbff00
Color Hash:#1f2593

Scan History

Scan history not available

Unable to load historical scan data