ScanMalware.com

Security Scan Report: sunriversdor.gov

Redirected to: https://www.sunriversdor.gov/

Site favicon
Submitted: Oct 7, 2025, 2:55:10 AMCompleted: Oct 7, 2025, 2:56:44 AMpubliccompleted
Loading additional data...

Summary

This website contacted 33 IPs in 2 countries across 14 domains to perform 34 HTTP transactions. The main domain is sunriversdor.gov.

Submitted URL: https://sunriversdor.gov/

Effective URL: https://www.sunriversdor.gov/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Domain is a .gov TLD, which requires verification by US authorities
No credential‑harvesting or payment collection forms present
No malicious Indicators of Compromise detected in threat intelligence databases
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Sunriver Service District

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

Domain 'sunriversdor.gov' uses the United States government-restricted top-level domain (.gov). Its registrable label 'sunriversdor' stretches across 12 characters containing four vowels alongside 8 consonants. Tokenizing the label suggests 3 words: sun, rivers, dor. Median word length is 3 characters. 'sun' most often appears in Romanian. You will also see it in Portuguese (Brazil) and English contexts. Overall, 'sunriversdor.gov' reads as Romanian.

Screenshot

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

Page Load Overview

72.70s
Total Load Time
34
HTTP Requests
14
Domains
1021 KB
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:2,996 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
64%
government
48%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
152.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.186.35United States
AS15169GOOGLE
1104.18.37.175United States
AS13335CLOUDFLARENET
1104.18.41.124United States
AS13335CLOUDFLARENET
1142.250.185.68United States
AS15169GOOGLE
134.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
1104.19.230.21United States
AS13335CLOUDFLARENET
1162.247.243.39United States
AS54113FASTLY
1146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1142.250.74.202United States
AS15169GOOGLE
3433--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
hCaptcha
45%
Pendo
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3935C9670D2343202B356E6F07F9746B1A24039B94D0810B6FDCAE95FEACD57226B3D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XVJ+Vp4Wthd8rGZhYGXhDlwKeh+uEbeUg65Ljuuh6Wsk/60RhRWJ8TVFTu+DGn:XVJ+V7thQjGRlwr2/yn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93937:pRIqRLJAVBVAeAiCSEAcBAsNJJBMMAsH5AD2F0jUQkahVQCASiQQEIKQEKUSU8JXEgHEUoTUI4sEFqgkEKgqhvARhBEAOAg+

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:00ffff7eff00003d
Perceptual Hash:90962e78bc26c7f1
Difference Hash:e4f0ccd49ef1c555
Wavelet Hash:00ff7e7eff000035
Color Hash:#41862d

Other Hashes

Crop Resistant:e4f0ccd49ef1c555,451be4e42cc3e9c4,97314cce3119186d,0e9696273796160e,d831e1cca01354d4

Scan History

Scan history not available

Unable to load historical scan data