Security Scan Report: snokaren.se

Redirected to:
https://snokaren.se/password
Submitted: Sep 25, 2026, 6:00:26 PMCompleted: Sep 25, 2026, 6:01:05 PMpubliccompleted

This website contacted 7 IPs in 3 countries across 7 domains to perform 250 HTTP transactions. The main domain is snokaren.se and was registered 8 years ago.

Submitted URL: https://snokaren.se

Effective URL:

https://snokaren.se/password
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Newly registered Shopify 'opening soon' store displaying its own brand. Password field is the standard Shopify storefront gate, not phishing. No impersonation, malware, or threat-intel hits — risk limited to brand-new, unranked domain.

Risk Factors (2)
Domain registered ≤1 day ago
No established domain reputation (unranked in Cisco Umbrella)
Safety Factors (5)
Site displays its own brand (Snokaren) matching the domain — SELF-BRANDING, not impersonation
Built on Shopify; the password field is the platform's storefront password-protection gate for an unpublished store
No cross-origin credential forms, no credential exfiltration, no malicious JavaScript behavior
No threat-intelligence matches, YARA hits, IDS alerts, or known malicious kits
Only standard newsletter and store-access forms present
Domain age information unavailable

Details

Page Title

– Snokaren

Scan Type

public

Domain Name Analysis

The domain name 'snokaren.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The second-level label 'snokaren' is 8 characters long containing 3 vowels alongside five consonants. Breaking it apart gives three words: s, no, karen. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snokaren.se

Page Load Overview

5.49s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:268 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping76% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
76%
entertainment media
68%
adult content
49%
gambling betting
47%
phishing scam
32%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4023.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
3523.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
3523.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
3534.8.119.189Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3534.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3557.144.248.128Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3557.144.248.1Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2507--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B933B01B432D4390A27293A77EFF10B62746317EA01E5E876DD82141FC97DF4AA3E99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:E1g9Xlkb/vhbzxNX3ugwhhWVSknbEsqDFMcd3vZ4JrcjBuQAc2h39Z5i6TpMvl92:r9Xlkb/vhbzxNX3ugwhhWVSknb/qJMcA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91201:AIWTcgAFCCxAFIhyglqhAAQTghUGQgyoliAhCkaRETAFLuCsiTPYIIFHUAkQdXUBzcCjBCAOEAwCJeQECgURgGiA9AQoQoEY

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:ffffe7e3f3ffffe7
Perceptual Hash:e59a92cd65b2924d
Difference Hash:0000080e1600020c
Wavelet Hash:f0f0e0e0033f3f27
Color Hash:#3a4b78

Other Hashes

Crop Resistant:0000080e1600020c

Scan History

Scan history not available

Unable to load historical scan data