Security Scan Report: santabarbaraca.gov

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Submitted: Dec 23, 2025, 2:44:45 PMCompleted: Dec 23, 2025, 2:46:39 PMpubliccompleted
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Summary

This website contacted 18 IPs in 4 countries across 16 domains to perform 106 HTTP transactions. The main domain is santabarbaraca.gov and was registered NaN years ago.

Submitted URL: https://santabarbaraca.gov/

The Cisco Umbrella rank of the primary domain is #743,215 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate city government website with no security concerns.

Safety Factors
Official government domain (.gov)
Established domain age
No suspicious forms or content
Domain age information unavailable

Details

Page Title

City of Santa Barbara

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

finance banking

(55%)

Domain Information

The domain name 'santabarbaraca.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'santabarbaraca' spans 14 characters holding six vowels versus eight consonants. Word splitting yields three words: santa, barbara, ca. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.51s
Total Load Time
106
HTTP Requests
16
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:31,933 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking55% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
55%
government
48%
technology software
40%

Detected Features

Search
OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21216.58.209.194United States
AS15169GOOGLE
5104.126.37.177Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5216.58.209.206United States
AS15169GOOGLE
5188.114.96.3United States
AS13335CLOUDFLARENET
5216.58.209.168United States
AS15169GOOGLE
523.185.0.253United States
AS54113FASTLY
5142.251.38.68United States
AS15169GOOGLE
5216.58.209.193United States
AS15169GOOGLE
513.62.65.115Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
10618--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA74657170DA322F0B57C6F01295E717DAD244C6D9841089B99E877C2FD2E0AACBD27B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vhgX++0QsqFQTeQKclIexQ4UQ48PQTg6ECEOn0YlstNv0nvHvo1DjWNQVO7U1Zav:vhL+0QsvJ/tYUIQVlXaWtdl5w7pQf8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:368047:SoQTAiBywpkIUU0AYNgKJIRYHiUApAgGEJGv0VJQgQZAAAkBYW4AYgcKaDM76kUTiAi6UOhAMJQYJwVA5IQ/E6AQAIAUE0oY

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:fffffffffc000000
Perceptual Hash:deb52e49f48f6042
Difference Hash:321ecf3c10617905
Wavelet Hash:ffff43fff8000000
Color Hash:#462d86

Scan History

Scan history not available

Unable to load historical scan data