ScanMalware.com

Security Scan Report: snopass.org

Submitted: Oct 27, 2025, 5:30:14 AMCompleted: Oct 27, 2025, 5:32:27 AMpubliccompleted
Loading additional data...

Summary

This website contacted 18 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is snopass.org and was registered NaN years ago.

Submitted URL: https://snopass.org/

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

High‑risk phishing site impersonating Google; do not trust.

Risk Factors
Brand impersonation/typosquatting on a non‑official domain
Circular redirect indicating possible URL manipulation
UNRANKED domain claiming a well‑known brand
403 Forbidden response with no legitimate content
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Snoqualmie Pass Utility District - Water - Sewer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(42%)

Domain Information

You're looking at domain 'snopass.org' on the non-profit oriented generic top-level domain (.org) without a subdomain. The second-level label 'snopass' is 7 characters long holding two vowels versus five consonants. Splitting it apart reveals three words: s, no, pass. Average segment length settles at 2 characters. The linguistic tilt is Catalan for 's'. Secondary signals appear in Spanish and Czech.

Screenshot

Security scan screenshot of https://snopass.org/

Page Load Overview

39.55s
Total Load Time
10
HTTP Requests
4
Domains
87 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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0142.250.185.170United States
AS15169GOOGLE
0108.138.2.142United States
AS16509AMAZON-02
0108.138.2.71United States
AS16509AMAZON-02
0142.250.185.227United States
AS15169GOOGLE
035.209.135.107Council Bluffs, Iowa, United States
AS15169GOOGLE
0108.138.2.34United States
AS16509AMAZON-02
02600:9000:2490:ec00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:8200:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:d200:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:3600:5:acf3:db40:21United States
AS16509AMAZON-02
1018--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E73E1DD37600ED8CC9687D2673821493487B4EDE4504951F29E2BE4FF8B69D4AE068F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9IQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmy:9r/itkDfLKKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80656:UgABACUEVARyooAEaoMDTQOIAAmvRiAfMFKgCkqFaCmuIqOIAEwYREhgAYQCVizUoCIQxWgkUqAwAgBICOgK9tAFiNAEFpsG

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#935f1f

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data