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Security Scan Report: opensnow.com

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Submitted: Oct 17, 2025, 1:31:58 PMCompleted: Oct 17, 2025, 1:33:50 PMpubliccompleted
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Summary

This website contacted 92 IPs in 2 countries across 17 domains to perform 207 HTTP transactions. The main domain is opensnow.com and was registered NaN years ago.

Submitted URL: https://opensnow.com/news/post/2025-2026-north-america-winter-forecast-preview

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or data collection
No external links to untrusted domains
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

2025-2026 North America Winter Forecast Preview | OpenSnow

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'opensnow.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'opensnow' covers 8 characters split between 3 vowels and 5 consonants. Segmentation suggests two words: opens, now. Average segment length settles at four characters. 'opens' most often appears in Chinese (Pinyin). You will also see it in English and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://opensnow.com/news/post/2025-2026-north-america-winter-forecast-preview

Page Load Overview

73.29s
Total Load Time
207
HTTP Requests
17
Domains
7.7 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:20,482 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%
news/blog
40%
news
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2534.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2142.250.185.238United States
AS15169GOOGLE
2142.250.74.193United States
AS15169GOOGLE
2172.64.153.56United States
AS13335CLOUDFLARENET
2172.217.18.14United States
AS15169GOOGLE
2142.250.185.110United States
AS15169GOOGLE
2142.250.184.234United States
AS15169GOOGLE
2142.250.184.238United States
AS15169GOOGLE
2142.250.74.214United States
AS15169GOOGLE
2142.250.185.174United States
AS15169GOOGLE
20792--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7947DB79650102D1E130676FEA9F758B12BB09BDF526AC6B95EC53042C3EEC213374A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:p4/hqaIlPKz4ZnM04t5KTXQI2QzmdYQNSmemTLa1+pKbr7zPbfUIfEqVJ/HFlULg:SSmumemTLa1+pKbr7zPlfzWB5ZA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:424086:4kwkUxwDsqAiDRxVFKOyuo5QCgVCpMPo4A7mgHCAODAlhUkgAQMAkCoQBiHK4oKtSoB2hIW0WsmbaCMAhGBBdboyAyBGZTUV

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:00fbc7878797df0f
Perceptual Hash:bc6309663a723e63
Difference Hash:2d22362d2d2d3834
Wavelet Hash:00bb878787971f0f
Color Hash:#c1e06c

Other Hashes

Crop Resistant:2d22362d2d2d3834,00c1012323018101,9e9e9088aab2eafa,e0606068656169fa,01da828139010121

Scan History

Scan history not available

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