Security Scan Report: www.snovalley.org

Submitted: Oct 27, 2025, 5:53:19 AMCompleted: Oct 27, 2025, 5:56:28 AMpubliccompleted
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Summary

This website contacted 29 IPs in 2 countries across 10 domains to perform 62 HTTP transactions. The main domain is snovalley.org and was registered NaN years ago.

Submitted URL: https://www.snovalley.org/snoqualmie-pass/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Domain age over 28 years (well-established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Content appears to be standard informational page for a local chamber of commerce
No external suspicious links or redirects
Domain age information unavailable

Details

Page Title

Snoqualmie Pass - SnoValley Chamber of Commerce

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Domain 'www.snovalley.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Its registrable label 'snovalley' stretches across 9 characters split between 3 vowels and six consonants. Word splitting yields 3 words: s, no, valley. The median word length lands at two characters. 's' most often appears in Catalan. You will also see it in Spanish and Czech contexts.

Screenshot

Security scan screenshot of https://www.snovalley.org/snoqualmie-pass/

Page Load Overview

2.45s
Total Load Time
62
HTTP Requests
10
Domains
3.6 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-US
Text Length:2,675 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3320.25.91.29Washington, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6172.67.142.245United States
AS13335CLOUDFLARENET
613.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5142.250.185.163United States
AS15169GOOGLE
4172.217.18.8United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
2142.250.186.138United States
AS15169GOOGLE
213.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.21.27.152United States
AS13335CLOUDFLARENET
2142.250.181.227United States
AS15169GOOGLE
6229--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3140972F9043039125F53C5B05C7BA86726C302FA438AE871AE65D9CBC29D533B7A5B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Sblap6aTJOfcZdOAmcJ0BvNEGLwLlmQCZD/ZcysxkpU2MTrptofgt2C:SAECs/A30BvNEGLwLltgEkpU2MTrpBkC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:207393:FAsIA0YEDPweFICgBIIIoHBwbbB8mULAihEANnCooAikvaCIMITEXoAIUwJgUmIIqAxACGMySWoLGRYEQBi4dCQEQQkFAQDn

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:ff000010000cffff
Perceptual Hash:d243b1bac7e0d2a9
Difference Hash:8a4488e0617d1f0f
Wavelet Hash:ff000038003effff
Color Hash:#79d2b8

Scan History

Scan history not available

Unable to load historical scan data