Security Scan Report: www.framfot.se

Submitted: Nov 4, 2025, 9:19:01 AMCompleted: Nov 4, 2025, 9:20:44 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is framfot.se.

Submitted URL: https://www.framfot.se/utbildning-kommunikation-retorik/minikurs-konsten-att-ge-feedback/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site currently shows a 502 error but contains no security threats.

Safety Factors
Standard HTTP error page with no suspicious content
Domain not flagged in threat intelligence databases
No external links or redirects present
Domain age information unavailable

Details

Page Title

Minikurs: Konsten att ge feedback - Framfot

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(73%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.framfot.se' is registered with subdomain 'www'. Count 7 characters in 'framfot' holding 2 vowels versus 5 consonants. Breaking it apart gives three words: f, ram, fot. The median word length lands at three characters. Most frequently, 'f' shows up in Catalan. Usage also turns up in Norwegian and Swedish contexts.

Screenshot

Security scan screenshot of https://www.framfot.se/utbildning-kommunikation-retorik/minikurs-konsten-att-ge-feedback/

Page Load Overview

29.49s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:21,771 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain73% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
73%
technology software
66%
healthcare medical
63%
finance banking
60%
documentation technical
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.6.229United States
AS13335CLOUDFLARENET
0172.67.71.156United States
AS13335CLOUDFLARENET
02606:4700:20::681a:7e5United States
AS13335CLOUDFLARENET
02606:4700:20::681a:6e5United States
AS13335CLOUDFLARENET
0104.26.7.229United States
AS13335CLOUDFLARENET
02606:4700:20::ac43:479cUnited States
AS13335CLOUDFLARENET
26--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E764647170EA722F0F5BC7F01295E307AAD244C6998065CAB49E47382FC2D5A5CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IWOUw0YhbHpsQnUQmindl5s7ccF+1VoUhK7ZekkeQQhVv4rS5Cc0NibGnkYuenOl:ctJhnUQmindl5stozo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:335079:SICIQJKVItoADMwCeI28AQAgwNUhoyAUgh1lEUhgmOEJ4AoBD4FNGAIQuRAEMMqCocwBtCTGDJEBAYmkKkXQCVCQBVgeMQEA

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:da13352c921bcf53
Difference Hash:54906969696132c0
Wavelet Hash:00f8bcbcbcbc9878
Color Hash:#783a6f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data