Security Scan Report: framgangsakademin.se

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Submitted: Oct 8, 2025, 6:06:23 PMCompleted: Oct 8, 2025, 6:09:38 PMpubliccompleted
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Summary

This website contacted 124 IPs in 6 countries across 32 domains to perform 253 HTTP transactions. The main domain is framgangsakademin.se and was registered NaN years ago.

Submitted URL: https://framgangsakademin.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
Only standard informational and newsletter forms
No credential or payment collection
Domain age information unavailable

Details

Page Title

Framgångsakademin

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

healthcare medical

(51%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'framgangsakademin.se' is registered and has no subdomain. The core label 'framgangsakademin' covers 17 characters split between 6 vowels and 11 consonants. Splitting it apart reveals five words: f, ram, gangs, akademi, n. The median word length lands at 3 characters. Most frequently, 'ramp' shows up in Afrikaans. Usage also turns up in Danish and German contexts.

Screenshot

Security scan screenshot of https://framgangsakademin.se/

Page Load Overview

12.92s
Total Load Time
253
HTTP Requests
32
Domains
80.8 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:8,931 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical51% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
51%
corporate business
44%
education
35%
corporate
35%
news/blog
20%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
174172.67.178.199United States
AS13335CLOUDFLARENET
952.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
892.123.104.175Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
491.228.74.200United Kingdom
AS16509AMAZON-02
4216.58.206.72United States
AS15169GOOGLE
3157.240.253.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3142.250.186.99United States
AS15169GOOGLE
253124--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106A420107E472878309F11DFD013624C21CAEFEAE526E9E9F5FB1161B2B5CD136E22A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MlFPYTORgTYq0DQh25idk75sEgKTVrBfJPO6tqWA:4RY+LQh8vFA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:485802:8wqSFkbDzljG6GZK0wkcE4KI6gQlBrUXMVyYNDmiJCSgA4BlDMAAaICDIAPogAbAIQAUBSICkPAQMC0Ih52xjNFBBIQTOCQg

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:00383838383c3810
Perceptual Hash:cb757415366b344c
Difference Hash:b373736b63737323
Wavelet Hash:003c3d393d3d39f1
Color Hash:#6ce0a4

Scan History

Scan history not available

Unable to load historical scan data