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Security Scan Report: falkboman.se

Redirected to:
https://ungdrive.se/
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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Self-branded Swedish youth-entrepreneurship site (UngDrive) reached via a one-hop redirect. No credential/payment harvesting, no impersonation, and no Indicators of Compromise — only a standard contact form.

Safety Factors (5)
Self-branding: page title, meta and og:site_name match the final domain ungdrive.se (no impersonation of a different entity)
No credential or payment fields; the only form is a standard contact/message form posting within the UngDrive domain
Cross-origin form submission flagged by the scanner as a legitimate same-organization flow (falkboman.se → ungdrive.se), not credential exfiltration
Physical address visible and press/media references present
No threat-intelligence, YARA, IDS, or JavaScript behavioral signals
Domain age information unavailable

Details

Page Title

Företagsformen för barn och ungdomar | UngDrive

Scan Type

public

Domain Name Analysis

The domain 'falkboman.se' uses the Swedish country-code top-level domain (.se). The second-level label 'falkboman' is 9 characters long with 3 vowels and 6 consonants. Tokenizing the label suggests three words: falk, bom, an. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://falkboman.se

Page Load Overview

3.10s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:8,518 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1551.12.73.228Azure · CLOUDSweden
AS8075Microsoft Corporation
14194.9.94.86Sweden
AS39570Loopia AB
1451.12.31.9Azure · CLOUDSweden
AS8075Microsoft Corporation
433--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Ruby
50%
Jekyll
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124642B2293A0473EA86343DCF250767C3099D2CBD0628189B76D4276DF9ACE9DD2F5D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:p4rGneVvbeV6jq//Pgkymy8xeV6fAfhOD6QDEu4utjqF:p4rGWrKUOD6QDuuK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:307881:gDCgpA4IDZBIySGYaBZgNMMnFBeCmKqgGIIDJgIAhGFYESjCQ0KvRigoLdIBgtQAgYiIcgCCXQTpAEscAB4gGRIDEJEswGiE

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:006c6c0c0c040000
Perceptual Hash:93936c2c3c6ce5c3
Difference Hash:b6c9c9d9296917c8
Wavelet Hash:43fdec4c0c3d017e
Color Hash:#d2797e

Other Hashes

Crop Resistant:71cc96aa2b3396f0,f39fa3d5d252c080,e73cfbab28645088,0fb2ccf0d4e869b2,b6c9c9d9296917c8,2b61d4ccb2b24d23

Scan History

Scan history not available

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