Security Scan Report: framgangsakademin.se

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Submitted: Oct 8, 2025, 6:07:23 PMCompleted: Oct 8, 2025, 6:10:09 PMpubliccompleted
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Summary

This website contacted 115 IPs in 5 countries across 33 domains to perform 192 HTTP transactions. The main domain is framgangsakademin.se.

Submitted URL: https://framgangsakademin.se/kurs/filippa-tjarnlund-styrkan-att-vara-sig-sjalv/?course_id=3232721

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate course page with no security concerns.

Safety Factors
Standard informational website offering a course
No suspicious content or phishing indicators
Domain age information unavailable

Details

Page Title

Filippa Tjärnlund - Styrkan att vara sig själv - Framgångsakademin

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(73%)

Domain Information

The domain 'framgangsakademin.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'framgangsakademin' spans 17 characters with six vowels and eleven consonants. Segmentation suggests 5 words: f, ram, gangs, akademi, n. Average segment length settles at 3 characters. 'ramp' most often appears in Afrikaans. You may catch it in Danish and German as well.

Screenshot

Security scan screenshot of https://framgangsakademin.se/kurs/filippa-tjarnlund-styrkan-att-vara-sig-sjalv/?course_id=3232721

Page Load Overview

103.62s
Total Load Time
192
HTTP Requests
33
Domains
64.4 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:6,033 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning73% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
73%
adult content
65%
government public service
52%
corporate business
44%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
78157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
120.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
12.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.186.99United States
AS15169GOOGLE
118.66.122.115United States
AS16509AMAZON-02
1150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1142.250.186.163United States
AS15169GOOGLE
1172.217.23.110United States
AS15169GOOGLE
192.123.104.189Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
192115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192641F517E472878309F10DFC013624C21CAEEEAE525E9F9F5FB2161B2B5CD136E22A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MGP/ORgTCl0q0ZLWHidk7hsEgKTBfJPO6u3K:l4Oq0ZCbO6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:317833:gQgAqAJMEACRUGgIIgrBZIQnwgzQSx4yTE2AWTvoUAMBdMEBgRlrgmgEJWCtwoGVQYHBFDAoSjkegNIBmEgCCsHREAYWQ9lJ

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:67fd7c00000000ff
Perceptual Hash:c230d563bd0df14d
Difference Hash:8cd5d5d1c5cde163
Wavelet Hash:efff7d00004030ff
Color Hash:#1f5793

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data