Security Scan Report: www.icaniwill.se

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Submitted: Oct 3, 2026, 8:12:04 AMCompleted: Oct 3, 2026, 8:13:09 AMpubliccompleted

This website contacted 56 IPs in 4 countries across 46 domains to perform 344 HTTP transactions. The main domain is icaniwill.se and was registered 3 years 5 months ago.

Submitted URL: https://www.icaniwill.se/sv/herr/herr-t-shirts/everyday-boxy-tee-print-pale-lemon

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established 14-year-old Swedish apparel brand's own product page on its matching domain. Only email newsletter forms, no credential/payment capture, no threat-intel, YARA or IDS hits. Legitimate.

Safety Factors (6)
Domain age 5168 days (registered 2012), well-established
Own-brand domain matching the brand displayed on the page — no impersonation of another entity
No credential-harvesting or payment forms (newsletter email capture only)
No Indicators of Compromise, YARA malware, phishing kits, or IDS network alerts
Third-party scripts served from ranked, mainstream analytics and consent providers
Standard legitimate e-commerce UX (size guide, cart button, cookie consent, style carousel)
Domain age information unavailable

Details

Page Title

Everyday Boxy Tee Print Pale Lemon | ICIW

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'www.icaniwill.se' is registered, featuring subdomain 'www'. The registrable portion 'icaniwill' spans 9 characters containing four vowels alongside five consonants. Splitting it apart reveals 4 words: i, can, i, will. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.icaniwill.se/sv/herr/herr-t-shirts/everyday-boxy-tee-print-pale-lemon

Page Load Overview

6.43s
Total Load Time
7.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:29,015 chars
Detector Agreement:100%
Language mismatch: Declared as sv but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1476.76.21.93Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
6172.66.140.64Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.11.32Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.20.42.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.5.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
63.171.214.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6192.178.183.97Google · CDNUnited States
AS15169Google LLC
6185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
6146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6104.18.40.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
34456--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7F44A7BF094113F0603CEE53992BB5F90BBC045CE429985CA94C3B61BDBD972A6A11F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:1v6Eey9qQgPI+n3g7swHswBETSTlT8TlTgI7:QbweTSTlT8TlTgI7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:751071:nBAgAToAsJMg5EMAloBAiAqQBIFIgAnSwSGIAAoQAJMAKEArWDjKbQmjDhIMICA+GOg8hsEAGLkgaINAEGQnQciPACwRgRgB

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:ff0f07171517fdff
Perceptual Hash:8e07f1ccc8ea30f3
Difference Hash:606ee9efa5ad2919
Wavelet Hash:ff0707010007bdff
Color Hash:#e0856c

Scan History

Scan history not available

Unable to load historical scan data