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Security Scan Report: redondo.gov

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Submitted: Oct 25, 2025, 10:11:26 PMCompleted: Oct 25, 2025, 10:14:59 PMpubliccompleted
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Summary

This website contacted 102 IPs in 2 countries across 23 domains to perform 241 HTTP transactions. The main domain is redondo.gov and was registered NaN years ago.

Submitted URL: https://redondo.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established municipal domain
No malicious Indicators of Compromise
Standard public information site
Domain age information unavailable

Details

Page Title

Welcome to Redondo Beach, CA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(70%)

Domain Information

The domain 'redondo.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'redondo' spans 7 characters split between three vowels and 4 consonants. It segments into 1 word: redondo. 'redondo' is most common in Catalan usage. Usage also turns up in Danish and Spanish contexts. Taken together, it feels Catalan with single-word simplicity.

Screenshot

Security scan screenshot of https://redondo.gov/

Page Load Overview

8.74s
Total Load Time
241
HTTP Requests
23
Domains
6.9 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:10,754 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
70%
government
48%
entertainment media
35%
documentation technical
31%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
66144.24.35.187Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
20104.26.8.115United States
AS13335CLOUDFLARENET
1575.2.20.73United States
AS16509AMAZON-02
12132.226.37.239Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
1179.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
5142.250.185.195United States
AS15169GOOGLE
344.240.56.36Boardman, Oregon, United States
AS16509AMAZON-02
2212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
244.241.182.205Boardman, Oregon, United States
AS16509AMAZON-02
2142.250.186.174United States
AS15169GOOGLE
241102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19254F960B498143B015F02C4B11BBB4263DFF73DE71098F439FE5AAA4BCADB86D5A254

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LmYVVsJPPFXy75lkD7GNEMC4elOMb5CK/HfVc8+KGOly9xwndEy6yLo3CjoFLto+:LmYVmJPNXtGNEMC4nPfwn3zuP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:290497:CsiAAVCHMhMgQkADFgGTmAJeoCNqQoCSBwgRnE0NB9gEDECZACABCQgICSbDQdapAAQW61kg8xWQFQOgRmUiQYaUBixSNrQJ

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:0107c0d8c0c0ffff
Perceptual Hash:f80f8772c85c7887
Difference Hash:bfed243119190cc0
Wavelet Hash:0317c0d8c0c0ffff
Color Hash:#a687c5

Other Hashes

Crop Resistant:bfed243119190cc0,b0c0636363c7c3e3,e0e0e0f0f0f0e0e0,6646c6c0ecfcfc3e,b9e7c6b2b094880c,5b1ce4e05969b0b8

Scan History

Scan history not available

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