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Security Scan Report: www.scorca.gov

Submitted: Dec 15, 2025, 11:16:51 PMCompleted: Dec 15, 2025, 11:17:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is scorca.gov and was registered NaN years ago.

Submitted URL: https://www.scorca.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Government .gov domain
Established domain age (>1 year)
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Homepage Sewerage Commission - Oroville Region

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.scorca.gov' is registered and includes subdomain 'www'. The core label 'scorca' covers 6 characters split between 2 vowels and 4 consonants. Word splitting yields two words: sc, orca. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.scorca.gov/

Page Load Overview

8.21s
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
84%
documentation technical
62%
government public service
61%
adult content
52%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
134.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D936BDA70D1383257B306D6F03B4642B2634026B58E485476AE8EE55FF6CEA6137B3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Vc7akqb8hSDQstvvIAmlwyxkWumBkha8CQCUdJwUy9mlz:VeakqaS86vYlDdp4z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97306:BoyS+QvgeAJJARURAISAKAk54mIxYUS9UQBkMiIQxWKpQQAc6sYEVgJAUCNkxQEgAMQDSoAiQgAYJbCzQHEkkRhqJhAIQ1AS

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:ffff7c70387a0000
Perceptual Hash:c0fabd9d6e20511b
Difference Hash:2230b485f1b2b6b6
Wavelet Hash:ffff7c70387a0000
Color Hash:#4084bf

Other Hashes

Scan History

Scan history not available

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