Security Scan Report: jpbilomc.se

Submitted: Sep 27, 2026, 9:10:45 PMCompleted: Sep 27, 2026, 9:11:27 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Small Swedish driving school site on a 7-year-old domain. Self-branded, no forms or credential/payment capture, and no Indicators of Compromise, YARA, or IDS hits. No malicious signals.

Safety Factors (5)
Established 7-year-old domain
Self-branding with domain-matched title, not brand impersonation
No forms, no credential or payment collection
No Indicators of Compromise, YARA, Safe Browsing, or IDS hits
All JavaScript served from the site's own domain; no third-party script hosts
Domain age information unavailable

Details

Page Title

jpbilomc.se

Scan Type

public

Domain Name Analysis

The domain name 'jpbilomc.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'jpbilomc' spans 8 characters with two vowels and 6 consonants. Word splitting yields three words: jp, bilo, mc. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jpbilomc.se

Page Load Overview

7.29s
Total Load Time
559 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,367 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical53% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
53%
adult content
43%
education learning
37%
documentation technical
27%
government public service
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1746.30.215.33Copenhagen, Capital Region, Denmark
AS51468One.com A/S
16195.47.247.17Denmark
AS51468One.com A/S
16195.47.247.16Denmark
AS51468One.com A/S
493--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164A3663AA611003303535DDA72293FAC14FEE216EB428D98F5AC4778E7D5CB2590D6BE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9VFUkj7hvueEzeI8NeeebeeaeeheeqTfmerUvH+ZWxweaCmLgbNg6L4:9VFUkjlvugGmerUvH+ZWxweEgbNg6L4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99439:RAgiAgAeBICmKEGAR2NvGgMiAFg9DIhBNgEARAYDEkWoAkqUsUoAzQvQAnIMlqWjAMkoIYCJIYgSRIIILCgBeZGDAItH3ShE

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:fff3e3e3e3e3cfc3
Perceptual Hash:e4ce9bce649b9920
Difference Hash:0406160606161c9e
Wavelet Hash:f2c2c3c3c3c3c3c3
Color Hash:#bf4060

Scan History

Scan history not available

Unable to load historical scan data