Security Scan Report: r.nl.framfot.se

Redirected to:
https://www.framfot.se/tips/agilt-arbetssatt-effektivisera-din-jobbvar...
Submitted: Apr 28, 2026, 6:24:43 AMCompleted: Apr 28, 2026, 6:26:17 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 2 HTTP transactions. The main domain is framfot.se and was registered NaN years ago.

Submitted URL: https://r.nl.framfot.se/mk/cl/f/sh/7nVU1aA2nfuMSjYHOrxjfhL9fZci1Ny/bvEdSFqff2xj

Effective URL: https://www.framfot.se/tips/agilt-arbetssatt-effektivisera-din-jobbvardag/?utm_source=brevo&utm_campaign=Agilt%20arbetsstt%20%20Ledarskapsbarometern&utm_medium=emailRedirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate site with low risk; no phishing, credential harvesting, or malware observed.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1 M)
High JavaScript obfuscation score with eval() and Function() usage
Safety Factors
Long‑standing domain registration (since 2005)
No malicious IoC or YARA detections
No password or payment fields in forms
Cross‑origin form submissions are legitimate SSO flows
Domain age information unavailable

Details

Page Title

Agilt arbetssätt - 2 konkreta metoder för dig | Framfot

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

cryptocurrency

(45%)

Domain Information

Domain 'r.nl.framfot.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'r.nl'. The core label 'framfot' covers 7 characters split between 2 vowels and five consonants. Word splitting yields 3 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/7nVU1aA2nfuMSjYHOrxjfhL9fZci1Ny/bvEdSFqff2xj

Page Load Overview

2.39s
Total Load Time
75
HTTP Requests
17
Domains
1.4 MB
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:41,604 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
9192.178.183.95United States
AS15169Google LLC
6142.251.13.97United States
AS15169Google LLC
6142.251.20.94United States
AS15169Google LLC
6104.126.37.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
623.56.205.206Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
6104.26.6.229United States
AS13335Cloudflare, Inc.
6141.101.90.107United States
AS13335Cloudflare, Inc.
6151.101.129.229United States
AS54113Fastly, Inc.
618.173.205.120United States
AS16509Amazon.com, Inc.
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14274533170DA722F0F9BC6F01295E7079AD244C699C021C9B49E8B382FD6D5A5CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8WU8x03CtNcXzJb4JTyNuWndl5Q67m1c8DBc9cZSwBuoUhK7ZekkeQQhVv4rS5cN:Cn5OTyNuWndl5QtJLzI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:356991:IUCA2YAsSK4IDgQqEgEiMEmAqiyqBAqCBAFNBYyV65AEgCgTgoSQgwiE2qAB7ErxfpAswz4EqAIAAyJJCZBMAAxCUiK0BGCa

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:ce1a31659b32cf32
Difference Hash:7096696961618e10
Wavelet Hash:00007ebdbdbdc3c3
Color Hash:#6ce06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data