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Security Scan Report: sangabrielcity.com

Submitted: Nov 18, 2025, 6:31:38 PMCompleted: Nov 18, 2025, 6:33:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 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

No security concerns identified; site appears legitimate.

Safety Factors
Well-established domain with minimal risk category
No credential or payment forms detected
No phishing or malicious indicators detected
Domain age information unavailable

Details

Page Title

San Gabriel, CA - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain 'sangabrielcity.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'sangabrielcity' spans 14 characters holding five vowels versus nine consonants. Tokenizing the label suggests three words: san, gabriel, city. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.19s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
64%
adult content
58%
government public service
32%
phishing scam
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3208.90.188.162United States
AS36489NETSOLUS-NETWORKS
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FF31990F78C6837806B20C4F03A6358607E8775D7074C9AFDBD42B15BE5CE9A6325BA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nZEPcA4Ck1QIckAGPc2i8xbUvkyZ2n5IGll+WTaNa9OYyT+weRnt7mMH2s1wIzPc:n5+y2IyZ2nPZhJwo45Bx2aKAn7t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163343:IUWADSIqikCC36ZaDxwAIbAFUkAEWRcIGBZESpCgigzSIoIgQBEEpZAjuaJGBMg1NBCBYTLIkUOAEBjAEAQDBL1MvQw4AMBi

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:fffffe0404040400
Perceptual Hash:92ed8db053176cc9
Difference Hash:560694cc8cacacec
Wavelet Hash:ffffff2644060400
Color Hash:#8979d2

Scan History

Scan history not available

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