Security Scan Report: debut.se

Redirected to:
https://debut.se/password
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 3 countries across 15 domains to perform 352 HTTP transactions. The main domain is debut.se.

Submitted URL: https://debut.se

Effective URL:
https://debut.se/password
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Password-protected storefront of the Swedish retailer Debut (debut.se) on Shopify. Self-branded, no impersonation, no threat-intel/YARA/IDS hits and no credential exfiltration. Legitimate, no risk signals beyond a standard storefront password gate.

Safety Factors (5)
Page displays its own brand ('Debut') consistently across title, OG tags and domain — no impersonation of another entity
Forms post same-origin to /password; no cross-origin credential submission
Hosted on Shopify with hCaptcha; third-party script hosts are established, ranked services
No threat-intelligence, YARA, IDS or Safe Browsing findings
Clear contact/support details ([email protected]) and descriptive legitimate retail content
Domain age information unavailable

Details

Page Title

Debut

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'debut.se' is registered and has no subdomain. The core label 'debut' covers 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: debut. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://debut.se

Page Load Overview

18.79s
Total Load Time
3.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping53% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
53%
adult content
42%
corporate business
37%
cryptocurrency blockchain
37%
government public service
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3223.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
3223.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
3234.144.250.199Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3223.227.38.74Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
3234.128.177.21Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3234.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
32157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
32104.19.229.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32104.18.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
35211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A693E710241AD2BA086337296BE7E1897026174FE632D43472EF4768BF05FAB05E7D67

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lLM9JrcjBuQAW2h39Z5i66fMvlm4mj+TRnMtm4becjY230Zq1geAERsRQ:lLOJrcjBuQAW2hZ6fMvlm4mj+TRnM1BZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89769:Ng2AGCnEEIQwgRgab0pBHR4gTZIKIQII6IDAITZdPZgkQBiaSEOw8cR+JCLQRTDEAEMSBYBTAGwKBDFUQAHIAQAxBF4UgDh0

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:270018181818ffff
Perceptual Hash:8800e3771cefc95d
Difference Hash:ccf2b2b2b2b2320c
Wavelet Hash:7f001818181cffff
Color Hash:#9387c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data