Security Scan Report: r.nl.framfot.se

Submitted: May 26, 2026, 8:30:26 AMCompleted: May 27, 2026, 10:04:09 AMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 4 domains to perform 5 HTTP transactions. The main domain is r.nl.framfot.se and was registered NaN years ago.

Submitted URL: https://r.nl.framfot.se/mk/cl/f/sh/7nVU1aA2ng01RJ4CKZf5mmIaAf74FDW/3pwT1b8bYmL4

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Low risk site; old legitimate domain with no forms, but JavaScript is heavily obfuscated.

Risk Factors
Heavy JavaScript obfuscation (eval, Function, high entropy)
Domain not listed in Cisco Umbrella top 1M (unranked)
Safety Factors
Long‑standing domain registration (2005)
Brand name matches official domain
No credential or payment collection
Domain age information unavailable

Details

Page Title

Motiverande samtal – en liten utbildning | Framfot företagsutbildning

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

cryptocurrency

(45%)

Domain Information

You're looking at domain 'r.nl.framfot.se' on the Swedish country-code top-level domain (.se) with subdomain 'r.nl'. The second-level label 'framfot' is 7 characters long split between 2 vowels and five consonants. Splitting it apart reveals three words: f, ram, fot. The median word length lands at 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/7nVU1aA2ng01RJ4CKZf5mmIaAf74FDW/3pwT1b8bYmL4

Page Load Overview

90.19s
Total Load Time
5
HTTP Requests
4
Domains
1 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv-SE
Text Length:35,912 chars
Detector Agreement:60%

Website Classification

Primary Category

cryptocurrency45% confidence
Type: spa
Method: structural

All Detected Categories

cryptocurrency
45%
news/blog
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.95United States
AS15169Google LLC
023.36.162.200Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0162.159.138.60United States
AS13335Cloudflare, Inc.
0172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
023.56.205.206Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0104.26.6.229United States
AS13335Cloudflare, Inc.
0141.101.90.106United States
AS13335Cloudflare, Inc.
0142.250.154.94United States
AS15169Google LLC
0142.251.110.97United States
AS15169Google LLC
018.173.205.127United States
AS16509Amazon.com, Inc.
510--

Detected Technologies3

JQueryv3.6.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12674637170DA722F0F9BC6F01295E70BAAD244C6998021C9B49E873C2FD2D565CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZWBx603W5E/TzuvsJrINr4ndl5td+LdDsTXojDYr/TYsE:kFEqrINr4ndl5vCw4D9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348598:wAgMwwizTSwcDIBZERI4iGEEQEDIQBk3YgxANA2NgAjCgQ4JNgXAFAlgEKuAo6IEOU6JAICiDIAZGJ4RZppAOBkAqyIsIJLC

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:cb1a316c9a33ce33
Difference Hash:529e696961619e1c
Wavelet Hash:00023ebdbdbdc3c3
Color Hash:#783a76

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data