Security Scan Report: r.nl.framfot.se

Submitted: Nov 4, 2025, 9:18:00 AMCompleted: Nov 4, 2025, 9:20:14 AMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 10 domains to perform 46 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/7nVU1aA2nfuMSjYHOrxjfhL9fZci1Ny/btSvpUk7pXIE

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
No malicious Indicators of Compromise detected
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

Tillbaka till kontoret - det är en order! - Framfot

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'r.nl.framfot.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'r.nl'. The registrable portion 'framfot' spans 7 characters with 2 vowels and five consonants. Segmentation suggests three words: f, ram, fot. Median word length is three characters. Most frequently, 'f' shows up in Catalan. Secondary signals appear in Norwegian and Swedish. Net impression: Catalan phrase.

Screenshot

Security scan screenshot of https://r.nl.framfot.se/mk/cl/f/sh/7nVU1aA2nfuMSjYHOrxjfhL9fZci1Ny/btSvpUk7pXIE

Page Load Overview

128.15s
Total Load Time
46
HTTP Requests
10
Domains
527 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:11 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.67.71.156United States
AS13335CLOUDFLARENET
2141.101.90.107United States
AS13335CLOUDFLARENET
218.173.205.120United States
AS16509AMAZON-02
2216.58.206.42United States
AS15169GOOGLE
223.50.131.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.124.210.133Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
218.173.205.20United States
AS16509AMAZON-02
2142.250.181.232United States
AS15169GOOGLE
2162.159.128.61United States
AS13335CLOUDFLARENET
2104.26.7.229United States
AS13335CLOUDFLARENET
4616--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13664537170DA722F0F9BC6F01295E307AAD244C699C025CAB49E4B382FC6D565CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:oW4ww0Y1VrpsQnUQmindl5bZKo0EwXIoUhK7ZekkeQQhVv4rS5Cc0NibGnkYuen4:ePlhnUQmindl5eozo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:319932:JEIGYJAuKDS20QsAOpSAIxAYDQEk+wALQFJlCkQKAANhSwAMAhAyUFAaCAYMBjsgmBMYCFt140iECQIARRBo4aMfAHQpAQsg

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:ce1b31649b32cf13
Difference Hash:7096696961618e14
Wavelet Hash:00007ebdbdbdc3c3
Color Hash:#931f6d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data