Security Scan Report: rondhjalpen.se

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Submitted: Sep 27, 2026, 10:50:11 AMCompleted: Sep 27, 2026, 10:50:49 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Very new Swedish hobby app for private residential round checks; self-branded, no forms, no threat-intel, YARA, or IDS hits. No malicious evidence — only domain youth.

Risk Factors (1)
Domain registered ≤1 day ago (very new)
Safety Factors (5)
Self-branding: title/meta match the domain, no impersonation of another entity
No credential, login, or payment forms; no data collection fields at all
States statistics and data are stored locally only ('ligger bara lokalt'); built for private use
No Indicators of Compromise, YARA, IDS, Safe Browsing, or JS-behavior findings
No external domains or suspicious redirects
Domain age information unavailable

Details

Page Title

Rondhjälpen v0.10

Scan Type

public

Domain Name Analysis

The domain 'rondhjalpen.se' uses the Swedish country-code top-level domain (.se). The second-level label 'rondhjalpen' is 11 characters long holding 3 vowels versus 8 consonants. Splitting it apart reveals 3 words: rond, hj, alpen. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rondhjalpen.se

Page Load Overview

1.03s
Total Load Time
103 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,410 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting27% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

gambling betting
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5217.160.0.209Germany
AS8560IONOS SE
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA5252A084F44ABA824745C6A891DB0F7D95D30BD79E2101F5ED8AF54F93D09CA6F02B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:rBULr8yBHG1hnMC/5s8VVfa5OLD5t8xYYI:k8yRC/5s8Vpa5Kf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13412:DiBWhiEBlFbAIREEwMAihCqrFwOypOAiAeARskBABQBXCKwCEAMERIAAQZpoLGyEU0KpCHgsCJxSjA1bAgj8gAMGWICBBEhU

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:00c3e7ffffffff3f
Perceptual Hash:a7700f780f5a0f78
Difference Hash:3196969896600a65
Wavelet Hash:0040ccc0c0f0b03f
Color Hash:#93861f

Scan History

Scan history not available

Unable to load historical scan data