Security Scan Report: sagoljus.se

Submitted: Oct 5, 2026, 3:30:33 AMCompleted: Oct 5, 2026, 3:31:30 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Under-construction Swedish placeholder page with only a contact email and Facebook link. No forms, no impersonation, no threat-intel or malware signals. Unknown domain age is a neutral, not a risk, factor.

Safety Factors (4)
No credential or payment collection of any kind
No brand impersonation — the page carries no third-party branding or logos
No malware, phishing kit, or suspicious JavaScript behaviour detected
Nothing on the page addresses scanners, AI reviewers, or attempts to steer classification
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

You're looking at domain 'sagoljus.se' on the Swedish country-code top-level domain (.se). Its registrable label 'sagoljus' stretches across 8 characters containing three vowels alongside 5 consonants. It segments into three words: s, agol, jus. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sagoljus.se

Page Load Overview

1.74s
Total Load Time
316 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:47 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as no

Website Classification

Primary Category

social media network97% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
97%
news media journalism
37%
healthcare medical
31%
real estate property
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.189.51.40Stockholm, Stockholm County, Sweden
AS206170Yelles AB
71--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E41A99A868EDF4ECD3451E5FC327988D39E496A465119FC7E65331C8FA0F481287618

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TX/kMKFWT2ddJixJ9y+u4UXNwDWK7MaPkvp:rh0NPJIJ44UdwDHg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2101:AgAAAAQIEEAQiAAAQAAAIICAAQAEggAACAAAAAQOBACAEABAYAARAQAAAAACAAAgAAAACAAIAAQACAAAEACAIAIBAIAACABA

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:ffffc3c3ffffffff
Perceptual Hash:e6669b9b9b246464
Difference Hash:6808860e28140000
Wavelet Hash:2f2f030303030f0f
Color Hash:#6fd22d

Other Hashes

Crop Resistant:6808860e28140000

Scan History

Scan history not available

Unable to load historical scan data