Security Scan Report: olof.nu

Redirected to: https://olof.nu/

Submitted: Jan 13, 2026, 6:23:34 PMCompleted: Jan 13, 2026, 6:26:05 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is olof.nu and was registered NaN years ago.

Submitted URL: https://Olof.nu

Effective URL: https://olof.nu/Redirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows brand names but lacks malicious activity; treat as a suspicious informational page.

Risk Factors
Brand impersonation (typosquatting) on an unranked domain
Safety Factors
Domain age 5993 days (well‑established)
No credential or payment forms present
HTTPS connection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Olof Fredriksson - Webbutvecklare

Scan Type

public

Language

🇸🇪

Swedish

(26% confidence)

Category

social media network

(79%)

Domain Information

Within the .nu country-code top-level domain, 'Olof.nu' is registered. The core label 'olof' covers 4 characters with two vowels and two consonants. Breaking it apart gives one word: olof. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://Olof.nu

Page Load Overview

37.85s
Total Load Time
8
HTTP Requests
2
Domains
82 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:26%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:26%
Script Type:Latin
Text Length:75 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network79% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
79%
technology software
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
462.3.44.11Sweden
AS206170Yelles AB
82--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1762103950CF0A9231A1CD461AE86B310EDD584EFC75B8D80F0AE0E2D0F41E9B899716D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hahOTSGeq9gbOrM/5lt1atOrM/5jblE2NZU2p2VIbv:mGeq9w/tUn/MEUq2VIbv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1379:AAAEAAAAgAIAAAAAAAAAICAABAAAAgAQBAAAAgAACAgAAQAACBAQAIAAAAAAAiASAAIAAAgAJAAACAAAAAABACAAAAAAAEAA

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:00ffffffffffffff
Perceptual Hash:9656565656565656
Difference Hash:6d16000200000000
Wavelet Hash:0008cccc0f0f0f0f
Color Hash:#931f52

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data