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Security Scan Report: dca.ca.gov

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/d87fc5be-de90-4cb2-aa63-0de6235c2fddDomain and IP registration (RDAP)/api/v1/rdap/d87fc5be-de90-4cb2-aa63-0de6235c2fddHow often this domain was scanned/api/v1/domain/stats/dca.ca.govScan history for this domain/api/v1/domain/history/dca.ca.gov?limit=15
This website contacted 13 IPs in 1 country across 14 domains to perform 36 HTTP transactions. The main domain is ca.gov and was registered 29 years ago.

Submitted URL: https://dca.ca.gov

The Cisco Umbrella rank of the primary domain is #11,745 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Official California Department of Consumer Affairs government site on an established 29-year-old .ca.gov domain with no credential forms, no impersonation, and no threat-intel, malware or IDS signals.

Safety Factors (5)
Official .ca.gov state government domain, 29 years old
Top 100K Cisco Umbrella ranking
About/contact pages and public phone numbers present
No credential or payment collection forms
No Indicators of Compromise, YARA or IDS hits
Domain age information unavailable

Details

Page Title

Department of Consumer Affairs (DCA)

Scan Type

public

Domain Name Analysis

The domain name 'dca.ca.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'dca'. Count 2 characters in 'ca' with 1 vowel and one consonant. It segments into 1 word: ca. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dca.ca.gov

Page Load Overview

9.50s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,636 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
89%
documentation technical
65%
news media journalism
55%
corporate business
52%
adult content
50%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12107.162.255.40Seattle, Washington, United States
AS35280F5 Networks SARL
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2150.171.109.106Azure · CLOUDUnited States
AS8075Microsoft Corporation
2150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
2142.250.154.100Google · CDNUnited States
AS15169Google LLC
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2142.251.127.113Google · CDNUnited States
AS15169Google LLC
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
3613--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0F2726392DC183F022392C7F1A16B69F0DB8D37E6576882F2FF438557D6C81A80B15A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pkPgnFaZU1anpOOO+uNr3GplcQdlG7UeIUR7Z:UgQpOOOPNr3GpRep7Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34887:LEQRggDQoYAQFQ0Cf4ioJGIMEVDYSRAQs9AQoC4A6wgFNSAACwCA0AhQgjLAYYohhBAKAI5oKFnIIiQBAIdhEBKLAP4gcU7E

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:ff3100000000ffff
Perceptual Hash:cb43bc98b999434e
Difference Hash:22e3c1d3d9c9202b
Wavelet Hash:ffff00000000ffff
Color Hash:#87c5a9

Other Hashes

Crop Resistant:22e3c1d3d9c9202b,c1c1c3db21d5d9e9

Scan History

Scan history not available

Unable to load historical scan data