Security Scan Report: framgangsakademin.se

Submitted: Apr 7, 2026, 1:40:46 AMCompleted: Apr 7, 2026, 1:42:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is framgangsakademin.se and was registered NaN years ago.

Submitted URL: https://framgangsakademin.se/profil/sebastian-wangerud/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational profile page with no security concerns.

Safety Factors
Well‑established domain (>5 years)
No credential or payment collection fields
No malicious Indicators of Compromise
Page marked as an article (informational) rather than a login or payment page
Domain age information unavailable

Details

Page Title

One moment, please...

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'framgangsakademin.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The core label 'framgangsakademin' covers 17 characters split between six vowels and 11 consonants. Segmentation suggests 5 words: f, ram, gangs, akademi, n. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://framgangsakademin.se/profil/sebastian-wangerud/

Page Load Overview

4.54s
Total Load Time
137
HTTP Requests
32
Domains
2.5 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:2,100 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
137104.21.56.61United States
AS13335Cloudflare, Inc.
1371--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A432E75CEED06234F22303DD73AB286A1524A1DB6908C188F18D6DE2BF4B78D4A56F1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GXHNsGeTHQpD+da6+8QPUV7lrDyjFrxzoXV4fNFYOkZ9S/qjm5sAq+UW3u3h7BcI:GXX+/zV7SFZoXV41FYOknS/qm55q3W3G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11485:UFAUaEEEqITogESvQQBDIBhEWRgpEiwYCpgooA4KIFAcAYEA1ghFEYEUSPAHtJTZsDqIwAKcfSCtCMEQDBCJZQGHSoYAhkIw

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:ffffff81dbffffff
Perceptual Hash:bf2fc0c03f3fc0c0
Difference Hash:0000012323000000
Wavelet Hash:f3f3818100000000
Color Hash:#bf4084

Other Hashes

Crop Resistant:0000012323000000

Scan History

Scan history not available

Unable to load historical scan data