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Security Scan Report: santabarbaraca.gov

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Submitted: Dec 7, 2025, 11:52:26 PMCompleted: Dec 7, 2025, 11:54:16 PMpubliccompleted
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Summary

This website contacted 36 IPs in 3 countries across 16 domains to perform 90 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 government website with no security concerns.

Safety Factors
Long‑standing domain registration
Official city government branding
Presence of contact information (address, phone)
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

City of Santa Barbara

Scan Type

public

Language

🇺🇸

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. Count 14 characters in 'santabarbaraca' holding six vowels versus eight consonants. Word splitting yields 3 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

7.11s
Total Load Time
90
HTTP Requests
16
Domains
2.4 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:31,463 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
41%

Detected Features

Search
OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2023.185.0.253United States
AS54113FASTLY
213.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.185.68United States
AS15169GOOGLE
2142.250.185.110United States
AS15169GOOGLE
223.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.71.238.101Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2142.250.184.206United States
AS15169GOOGLE
252.58.9.131Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2172.217.23.104United States
AS15169GOOGLE
2188.114.96.3United States
AS13335CLOUDFLARENET
9036--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A74767170DA322F0B57C6F01295E717DAD244C6D9841089B99E877C2FD2E0A9CBD27B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vhgXd+ik0aFQTeQKclIexQ4UQ48PQTg6MCEOn0YlstNv0nvHvo1DjWNQVO7U1Za1:vhi+ik0fl/tYUIQVlXaWtdl5VtbufZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:364498:EZgDACVAWQ4I1AnAhGBVJzCGwiJaQNYN+0MQ5ERkAQAQEgwAgRaDQlBBIGUChyCggQWpaCeEACIwJ0AKhIIcGIgBiAnAqkbk

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:fffffc00180000ff
Perceptual Hash:dedcb42e8b60d01b
Difference Hash:323c106179050d19
Wavelet Hash:fffffc00180000ff
Color Hash:#87c595

Other Hashes

Crop Resistant:323c106179050d19,b0f0b1b9a6709054,a020a6b0a0e0e0c0,d800d0f1e8048c18

Scan History

Scan history not available

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