Security Scan Report: scandraft.se

Redirected to:
https://www.scandraft.se/
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Submitted: Oct 12, 2026, 4:30:09 AMCompleted: Oct 12, 2026, 4:31:15 AMpubliccompleted

This website contacted 31 IPs in 5 countries across 24 domains to perform 86 HTTP transactions. The main domain is scandraft.se and was registered 17 years ago.

Submitted URL: https://scandraft.se

Effective URL:

https://www.scandraft.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 17-year-old Swedish B2B supplier site displaying its own brand, with a same-origin customer login and no IoC, YARA, IDS or phishing signals. Legitimate.

Safety Factors (5)
17-year-old domain with long registration history
Self-branding: title/meta match the domain, no third-party brand impersonation
Login/credential form is same-origin for the site's own customer portal, with CSRF tokens, not exfiltrating data
No threat-intelligence matches against the page or its loaded resources
Third-party scripts are common, ranked analytics/consent vendors (Bing, Cookie Information, Pingdom)
Domain age information unavailable

Details

Page Title

Scandraft AB® | Material för bild, dekor och reklam

Scan Type

public

Domain Name Analysis

The domain name 'scandraft.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'scandraft' is 9 characters long split between 2 vowels and seven consonants. Segmentation suggests 3 words: s, can, draft. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scandraft.se

Page Load Overview

5.26s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv_SE
Text Length:24,570 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software81% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
54%
corporate business
45%
social_media
25%
news/blog
20%

Detected Features

Login Form
Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2681.93.131.82Sweden
AS29468Infracom Managed Services AB
2150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
213.35.58.50Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
220.79.74.229Azure · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
8631--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD74413194F9A5FE9062D2E661A94B12BEC4B023D1A4180672ECD775CFDDD03BA7321E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:IV77mXkTuXFHKoNeqAUEtZVs/htx761gc1yOnHjIO9MTr1bsZHt76Js1FUyN+MnP:Y77mXkTuEgc1hnHjIO9MTpbsZHt76JsN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:352785:xjg9gKIxQQsphGUEYcIiokxJsFlSowGVhQABYuISKVhkGMGACA0QEDENeANAngYChSwAImgihARReoBFp5ISEAkbCKKURU2Z

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:1818181818181818
Perceptual Hash:9d1f63e1722672c8
Difference Hash:71727232b0313331
Wavelet Hash:3c3c3c1c3c3cbc3c
Color Hash:#4abf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data