Security Scan Report: sangabrielcity.com

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Submitted: Dec 23, 2025, 10:35:55 PMCompleted: Dec 23, 2025, 10:36:58 PMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 21 domains to perform 163 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 city website with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Content matches official municipal branding
No external or suspicious domains referenced
Domain age information unavailable

Details

Page Title

San Gabriel, CA - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(92%)

Domain Information

The domain name 'sangabrielcity.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 14 characters in 'sangabrielcity' split between five vowels and nine consonants. It segments into 3 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

7.70s
Total Load Time
163
HTTP Requests
21
Domains
11.0 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:6,052 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
92%
government public service
83%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.251.38.74United States
AS15169GOOGLE
7216.58.210.168United States
AS15169GOOGLE
713.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7216.58.209.174United States
AS15169GOOGLE
7104.18.39.59United States
AS13335CLOUDFLARENET
754.245.128.94Boardman, Oregon, United States
AS16509AMAZON-02
7157.240.205.11Helsinki, Uusimaa, Finland
AS32934FACEBOOK
7216.58.209.202United States
AS15169GOOGLE
7216.198.53.3United States
AS209242Cloudflare London, LLC
7216.239.32.36United States
AS15169GOOGLE
16322--

Detected Technologies2

JQueryv2.2.4
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FBE329A0E74C6C37406B21C8F03AA39854BE8735D7070C9AFDBD52B157D6DE9E1321AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nZqPcA4Ck184kAv0mjGdL8xbUvkyZ2H5oGTl+cTabanOOyB+KelPPiBSVR7AVEbp:nf+usUyZ2HbzlB5Bx2gAu7J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:153208:KciIAED44kkMPJQAEKUai4wg+yAZgoGuIRAVISbgYpAqhFDBRAFABBHZEF7AIgQAb6iACQjf2lCQER2A8MVBGPgYoWBKpTQt

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:ffff801018000000
Perceptual Hash:ccf5f38508557e50
Difference Hash:06863173f3e3c4b5
Wavelet Hash:ffffc01819396e00
Color Hash:#d279bf

Scan History

Scan history not available

Unable to load historical scan data