Security Scan Report: ginetex.se

Redirected to:
https://www.teko.se/
Site favicon
Submitted: Sep 25, 2026, 1:50:12 AMCompleted: Sep 25, 2026, 1:51:08 AMpubliccompleted

This website contacted 13 IPs in 3 countries across 8 domains to perform 40 HTTP transactions. The main domain is teko.se and was registered 15 years ago.

Submitted URL: https://ginetex.se

Effective URL:

https://www.teko.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

ginetex.se redirects to www.teko.se, the official site of TEKO, Sweden's textile and fashion industry body. Self-branded content, no credential or payment forms, no threat-intel, YARA or IDS hits — legitimate.

Safety Factors (5)
Final destination is the organisation's own official domain with matching self-branded title, meta description and Open Graph tags
No credential-harvesting or payment forms present (0 password, 0 disguised-password, 0 payment fields)
No Indicators of Compromise, no JavaScript malware patterns, no IDS alerts
Real-world contact details published: physical Stockholm address, phone number and organisational email
Content is substantive, industry-specific and consistent with a long-running Swedish trade association
Domain age information unavailable

Details

Page Title

TEKO - Sveriges Textil och Modeföretag

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'ginetex.se' is registered without a subdomain. The core label 'ginetex' covers 7 characters containing 3 vowels alongside four consonants. Word splitting yields 4 words: g, in, e, tex. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ginetex.se

Page Load Overview

2.35s
Total Load Time
22.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,696 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
48%
documentation technical
36%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.26.9.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35.22.145.121Aws · CLOUDGermany
AS16509Amazon.com, Inc.
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
395.101.78.227Palermo, Sicily, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
3172.67.72.58Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3184.24.77.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.26.8.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3184.24.77.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
4013--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14173D88012F0127611CFCADABF39AB19BD97D1A7C12BA5C573ED4B858FC7C818913A58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UXzu01JXOq8LIX5I5RnsaEP97f57HgzCXzoU1J3eq8LoXpI5wv:UXz91Z1I3EP9D5DyCXzj15VIiv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78845:8QuBogsIYQEToEgY0QwprQEg4PgAJBDKgAAggGCHUKAQgdtKaGEAiEyELAyoyYKMVCA3eQOUwEIUIgQRMIoCIsQyMAgAQhoC

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:ff01000008091dff
Perceptual Hash:987fb789e582e184
Difference Hash:3b3b3bbbb3b9b93f
Wavelet Hash:ff0d0100191d1fff
Color Hash:#53ac93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data