Security Scan Report: r.nl.framfot.se

Redirected to:
https://www.framfot.se/?utm_source=brevo&utm_medium=email&utm_campaign...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 22 IPs in 3 countries across 16 domains to perform 66 HTTP transactions. The main domain is framfot.se and was registered 21 years ago.

Submitted URL: https://r.nl.framfot.se/mk/cl/f/sh/WCPzyXJTZ73AtvpV2yULIzsLQtMBcXPW/-lhkqTdSxFS7

Effective URL:
https://www.framfot.se/?utm_source=brevo&utm_medium=email&utm_campaign...
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Swedish corporate training site on its official domain, with redirect from an email tracking subdomain. No credential/payment forms, no threat-intel hits, and no malicious behavior detected.

Safety Factors (5)
Established domain with over 21 years of registration history.
Redirect lands on the brand's own official domain, consistent with legitimate email campaign tracking.
Forms are contact, newsletter, and search only; no sensitive credential or payment collection.
No phishing indicators, no malware, and no threat-intelligence matches.
Legal information and cookie consent are present.
Domain age information unavailable

Details

Page Title

Företagsutbildning för framgång | Framfot Företagsutbildning

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'r.nl.framfot.se' is registered with subdomain 'r.nl'. Its registrable label 'framfot' stretches across 7 characters containing 2 vowels alongside 5 consonants. Tokenizing the label suggests three words: f, ram, fot. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://r.nl.framfot.se/mk/cl/f/sh/WCPzyXJTZ73AtvpV2yULIzsLQtMBcXPW/-lhkqTdSxFS7

Page Load Overview

2.29s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:38,916 chars
Detector Agreement:60%

Website Classification

Primary Category

cryptocurrency45% confidence
Type: spa
Method: structural

All Detected Categories

cryptocurrency
45%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
3141.101.90.107France
AS200484Sendinblue SAS
3104.26.7.229Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3141.101.90.106Unknown
AS20940Akamai International B.V.
3104.18.37.40Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
323.36.162.200Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.36.162.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
3150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
6622--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C84833270E9612F0B5FC2F02291E75B998351CBD94112C5B1ED473C1FD2E96ACAB26B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nWby0VWVEpB1WLrndl5JaWqcsTOotDlDyb/Q0p:5rndl5JyfDDc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:379788:QBCHGpwxGIGUFgRgLQEQdAVlggEIoCBUUGCFFAMAXWdgASGoGBECRCQKAdBAbKoUGWIogEBCigEEDwAyYHCSGS4QQEsGIGgK

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:00003c3c3c3c0000
Perceptual Hash:8a133564da1bcf5a
Difference Hash:5096696969619e02
Wavelet Hash:00023c3c3c3cffef
Color Hash:#86462d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data