ScanMalware.com

Security Scan Report: www.hillsboro-oregon.gov

Submitted: Sep 2, 2026, 9:20:52 AMCompleted: Sep 2, 2026, 9:22:28 AMpubliccompleted

Summary

This website contacted 15 IPs in 4 countries across 11 domains to perform 2 HTTP transactions. The main domain is hillsboro-oregon.gov and was registered 25 years ago.

Submitted URL: https://www.hillsboro-oregon.gov/our-city/departments/parks-recreation/classes-programs/youth-sports

The Cisco Umbrella rank of the primary domain is #691,404 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The page is a legitimate government site with no malicious indicators.

Safety Factors
Established government domain
Low ranking is typical for local government sites
No malicious scripts or external exfiltration
Only informational and subscription forms without credential collection
Domain age information unavailable

Details

Page Title

Youth Sports | City of Hillsboro, OR

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(68%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.hillsboro-oregon.gov' is registered, featuring subdomain 'www'. Its registrable label 'hillsboro-oregon' stretches across 16 characters containing 6 vowels alongside nine consonants; it also includes one hyphen. Segmentation suggests two words: hillsboro, oregon. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of 02179916.akstat.io

Page Load Overview

7.36s
Total Load Time
86
HTTP Requests
11
Domains
5.0 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:11,780 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service68% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
68%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16192.178.183.97Google · CDNUnited States
AS15169Google LLC
523.49.68.219Palermo, Sicily, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
595.100.158.105Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.67.138.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
5142.251.127.97Google · CDNUnited States
AS15169Google LLC
5216.239.32.36Google · CDNUnited States
AS15169Google LLC
588.221.168.138Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
52.20.168.195Paris, Île-de-France, France
AS16625Akamai Technologies, Inc.
5142.250.154.95Google · CDNUnited States
AS15169Google LLC
523.50.131.159Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8615--

Page Statistics

86
Requests
11
Unique Domains
5.0 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FE061686DE5208464D17136B7C9FA4C559A364F54009450BE4C53345F7175B99B3E40

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIYXfgYgELrvle6YMWxEhoNZk3UcFsh0yuXTAZcQHqG/WjPwZFuB9d:hRGe06zMZkzs68cQHqccuFG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e89635cbd7af7f6ff89448910a27c676

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:0000383838180000
Perceptual Hash:88d83726cc33dd8d
Difference Hash:e195b3b3b3f3cdd1
Wavelet Hash:03033d3d3d3d0f0f
Color Hash:#6e53ac

Other Hashes

Crop Resistant:2d2e2e2e2e2e2e2e,beb6b286b6b292a4,e094b2b2b2b2ccd0

Scan History

Scan history not available

Unable to load historical scan data