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Security Scan Report: sangabrielcity.com

Submitted: Oct 14, 2025, 6:11:54 AMCompleted: Oct 14, 2025, 6:15:17 AMpubliccompleted
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Summary

This website contacted 64 IPs in 2 countries across 20 domains to perform 146 HTTP transactions. The main domain is sangabrielcity.com and was registered NaN years ago.

Submitted URL: https://sangabrielcity.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established municipal website
Long domain age (>25 years)
No malicious Indicators of Compromise detected
No collection of sensitive data (passwords, payment info, personal health info)
Domain age information unavailable

Details

Page Title

San Gabriel, CA - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(73%)

Domain Information

Domain 'sangabrielcity.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Count 14 characters in 'sangabrielcity' with five vowels and 9 consonants. Word splitting yields three words: san, gabriel, city. Average segment length settles at four characters. The linguistic tilt is Chinese (Pinyin) for 'san'. Secondary signals appear in English and Galician. Net impression: Chinese (Pinyin) phrase.

Screenshot

Security scan screenshot of https://sangabrielcity.com/

Page Load Overview

6.93s
Total Load Time
146
HTTP Requests
20
Domains
10.3 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:5,602 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
73%
social media network
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62208.90.188.162United States
AS36489NETSOLUS-NETWORKS
31157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
13104.18.28.155United States
AS13335CLOUDFLARENET
10142.250.186.131United States
AS15169GOOGLE
6142.250.186.74United States
AS15169GOOGLE
3146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3172.217.18.3United States
AS15169GOOGLE
2157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2216.198.53.3United States
AS209242Cloudflare London, LLC
2216.239.34.36United States
AS15169GOOGLE
14664--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CF32AA0F78C2837406B61D4F03BA358207E8736D6070C9AFD7D52B16BE5CE9A636176

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jxAcA4CV1jevkAKIfRi8xbUvkyZ2EEIGll+WTaNa9OYyT+wevkshaASnQcAR2TwN:jB+W/ByZ2E8Ys4Rw55Bx23UJ2q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:166878:EGxZSGQEgGBAiQTB4gWRZxEglvfAHQkCgJEG0KeitnCWATIcgEkAAXiGMQYSEYaQIQspCFCqA6jEIpTYAADJwRANgEsDIosi

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:ffff600404040400
Perceptual Hash:92edadbc52176449
Difference Hash:0696c4cc8cac68ec
Wavelet Hash:ffffe66e44060404
Color Hash:#2d8646

Other Hashes

Crop Resistant:0696c4cc8cac68ec,1b0f1c3851d24008,94cc8c9cac8c68cc

Scan History

Scan history not available

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