Security Scan Report: gottforlivet.se

Redirected to:
https://sydgront.se/
Site favicon
Submitted: Oct 4, 2026, 4:10:06 PMCompleted: Oct 4, 2026, 4:11:13 PMpubliccompleted

This website contacted 14 IPs in 4 countries across 12 domains to perform 52 HTTP transactions. The main domain is sydgront.se and was registered 29 years ago.

Submitted URL: https://gottforlivet.se

Effective URL:

https://sydgront.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

1
Risk Score

Swedish produce company SydGrönt's own corporate site (entered via gottforlivet.se). No forms, no brand impersonation, no threat-intel or malware signals. Domain age of the new host is unknown and it is unranked, so kept low-risk rather than fully vetted.

Safety Factors (5)
Real corporate content: company description, physical address (Knut Påls väg 1, Helsingborg), phone, fax and [email protected] contact details
Content describes an EU-approved producer organisation with a published sustainability report
No credential, login, payment or booking forms present
Only well-known third-party script hosts (Google Analytics, DoubleClick, Facebook, Typekit, cdnjs)
No threat-intelligence, YARA, IDS or JavaScript behavioral signals
Domain age information unavailable

Details

Page Title

SydGrönt - Svenskodlade grönsaker, grönsaker, odlat i Sverige, frukt och grönt

Scan Type

public

Domain Name Analysis

The domain name 'gottforlivet.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The second-level label 'gottforlivet' is 12 characters long containing 4 vowels alongside 8 consonants. It segments into 3 words: gott, for, livet. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gottforlivet.se

Page Load Overview

9.78s
Total Load Time
6.2 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:2,163 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
36%
documentation technical
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13195.67.31.247Sweden
AS3301Telia Company AB
3194.9.94.85Sweden
AS39570Loopia AB
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
3184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3184.24.77.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.127.157Google · CDNUnited States
AS15169Google LLC
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5214--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5B2E91298F130771673739EAB23363A9ED2D007CA636C0C75AC46B96FD2E55886315E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4Wm5/HgcXrDXZP/HDcXrq/H2cXrxDWhWxgFZF8fugghiwynz5pH9Zgk8zQOP56pD:nS/HgyDXZP/HDyq/H2yxihWxEP8f4Ez3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24118:DaJV0AaQFgALKHAKIMVREzZExIkdFYIlGTAsQLQAPJkEOAbJEKiOG6ADAGwsyIBCbUxBQloAKRsEnIoFIiwQAlLgAEGYoyp8

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:ffeb99080100d198
Perceptual Hash:e8a1d4a29ede1a9c
Difference Hash:8e9abb3333332332
Wavelet Hash:ffebfb080101d998
Color Hash:#931f67

Scan History

Scan history not available

Unable to load historical scan data